alihmaou/Agents_MCP_Hackathon_Tools_List huggingface dataset:
Tool: Statistical_Analysis_MCP_one_way_anova
Space: Statistical-Analysis-MCP
Description: Accepts multiple groups of numeric data as semicolon-separated groups or DataFrame columns and performs a one-way ANOVA (Analysis of Variance). This test determines whether there are statistically significant differences between the means of three or more independent groups. ANOVA tests the null hypothesis that all group means are equal against the alternative that at least one group mean differs from the others. The test calculates an F-statistic by comparing the variance between groups to the variance within groups. A significant result (p-value < alpha) indicates that at least one group differs, but does not identify which specific groups differ (post-hoc tests needed for pairwise comparisons). Eta-squared (η²) measures effect size as the proportion of total variance explained by group membership, with interpretation: η² < 0.01 = negligible, 0.01-0.06 = small, 0.06-0.14 = medium, >0.14 = large (custom thresholds may be used). EXAMPLE USE CASES: comparing means across multiple treatment conditions, testing differences between multiple demographic groups, evaluating performance across several experimental conditions.
Inputs: groups_str, alpha, effect_thresholds
Tags: gradio, mcp-server, region:us
Tool: Statistical_Analysis_MCP_multi_way_anova
Space: Statistical-Analysis-MCP
Description: Accepts multiple categorical factors and performs Multi-Way ANOVA to determine whether there are statistically significant differences between group means when multiple factors are involved simultaneously. Multi-way ANOVA extends the one-way ANOVA framework to handle complex experimental designs with multiple categorical independent variables (factors), each with two or more levels. Unlike one-way ANOVA which tests a single factor, multi-way ANOVA can simultaneously test: (1) main effects of each individual factor, (2) interaction effects between factors, and (3) higher-order interactions. The test uses F-statistics to compare variance between groups to variance within groups for each effect. Eta-squared (η²) measures effect size as the proportion of total variance explained by each factor and interaction, with interpretation: η² < 0.01 = negligible, 0.01-0.06 = small, 0.06-0.14 = medium, >0.14 = large (custom thresholds may be used). EXAMPLE USE CASES: 2-way ANOVA for treatment × gender effects on blood pressure, 3-way ANOVA for teaching method × school type × student age on test scores, 4-way ANOVA for drug × dose × gender × age effects on recovery.
Inputs: dependent_var, factors, alpha, effect_thresholds, include_interactions, max_interaction_order, sum_squares_type
Tags: gradio, mcp-server, region:us
Tool: Statistical_Analysis_MCP_chi_square_test
Space: Statistical-Analysis-MCP
Description: Accepts observed frequencies (and optionally expected frequencies) as comma-separated strings or DataFrame columns and performs a chi-square goodness of fit test. This test determines whether observed categorical data frequencies differ significantly from expected frequencies. If no expected frequencies are provided, the test assumes equal distribution across all categories. The test calculates a chi-square statistic measuring the discrepancy between observed and expected frequencies. A significant result (p-value < alpha) indicates that the observed distribution differs from the expected distribution. Cramér's V measures effect size as the strength of association, with interpretation: V < 0.1 = negligible, 0.1-0.3 = small, 0.3-0.5 = medium, >0.5 = large (custom thresholds may be used). EXAMPLE USE CASES: testing if dice rolls follow uniform distribution, comparing observed vs expected sales across categories, analyzing survey response distributions.
Inputs: observed_str, expected_str, alpha, effect_thresholds
Tags: gradio, mcp-server, region:us
Tool: Statistical_Analysis_MCP_correlation_test
Space: Statistical-Analysis-MCP
Description: Accepts two variables as comma-separated strings or DataFrame columns and performs correlation analysis. This test determines the strength and direction of the linear relationship between two continuous variables. Pearson correlation measures linear relationships, Spearman correlation measures monotonic relationships (rank-based), and Kendall's tau is robust to outliers and suitable for small samples. The test calculates a correlation coefficient ranging from -1 (perfect negative correlation) to +1 (perfect positive correlation), with 0 indicating no linear relationship. A significant result (p-value < alpha) indicates that the observed correlation is statistically different from zero. Effect size interpretation: |r| < 0.1 = negligible, 0.1-0.3 = small, 0.3-0.5 = medium, >0.5 = large (custom thresholds may be used). EXAMPLE USE CASES: examining relationship between height and weight, analyzing correlation between study time and test scores, investigating association between variables in research.
Inputs: group1_str, group2_str, method, alpha, effect_thresholds
Tags: gradio, mcp-server, region:us
Tool: simple_calculator_calculate
Space: simple-calculator
Description: Performs basic arithmetic operations between two numbers. This function takes two numbers and an operator as input and returns the result of the arithmetic operation. Supported operations are addition (+), subtraction (-), multiplication (*), and division (/). For division, checks for division by zero. Returns: Result of the arithmetic operation if valid, "Error" if invalid operation (like division by zero), , >>> calculate(10, "+", 5), 15, >>> calculate(10, "/", 0), "Error"
Inputs: n1, op, n2
Tags: gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
Tool: simple_calculator_get_dad_joke
Space: simple-calculator
Description: Fetches a random dad joke from the icanhazdadjoke.com API. The function makes an HTTP GET request to the <https://icanhazdadjoke.com/> API with appropriate headers to receive JSON response. Returns: A random dad joke if successful, otherwise returns an error message., Success: Returns the joke text, Failure: Returns "Failed to retrieve a joke." if the API request fails, No joke: Returns "No joke found." if the API response doesn't contain a joke, , The requests library must be imported to make HTTP requests
Tags: gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
Tool: simple_calculator_get_google_book_filtered
Space: simple-calculator
Description: Get a filtered list of books from Google Books API. It can be filtered by title, author, genre, and ISBN. Results are ordered by relevance to the query. Only a subset of the volume info is included. Only 10 results are returned. Returns: list - list of books
Inputs: title, author, genre, isbn
Tags: gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
Tool: board_game_mcp_search
Space: board-game-mcp
Description: Search for board games on BoardGameGeek by title. Returns: A list of dictionaries, each representing a matching game with the following fields:, 'id' (str): The unique BGG ID of the game., 'title' (str): The official title of the game., 'year' (str): The year the game was published (or 'Unknown' if not available)., , >>> search_game("Catan"), [, "13", "title": "Catan", "year": "1995"},, ..., ]
Inputs: query
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: board_game_mcp_get_hot_games
Space: board-game-mcp
Description: Get a list of the Top 50 trending games today from BoardGameGeek. Returns: A list of dictionaries, each representing a popular game with the following fields:, 'id' (str): The unique BGG ID of the game., 'title' (str): The official title of the game., 'rank' (str): The current hotness rank of the game on BGG., 'year' (str): The year the game was published (or 'Unknown' if not available)., 'url' (str): URL to the similar game's page on BoardGameGeek.
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: board_game_mcp_get_similar_games_v2
Space: board-game-mcp
Description: Retrieves a list of games similar to a specified board game from the RecommendGames API. Returns: A list of dictionaries, each representing a similar game with the following fields:, 'id' (str): The unique BGG ID of the similar game., 'title' (str): The official title of the similar game., 'year' (str): The year the similar game was published (or 'Unknown' if not available)., 'description' (str): A brief description of the similar game., 'url' (str): URL to the similar game's page on BoardGameGeek., Returns an empty list if there are any errors during the API request or data processing.
Inputs: game_id
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: PII_Image_Masking_mpc_server_process_image
Space: PII-Image-Masking-mpc-server
Description: PII Detection & Masking Tool - Mistral Models Process an image with the given parameters. Pass an image URL(starting with http or https) to detect and mask PII based on privacy regulations using custom Mistral model. Available regulations include: GDPR, CCPA, PIPEDA, LGPD, PECR, PDPA, HIPAA. Available masking strategies: blur, single_color, none. The tool supports various Mistral models for image processing. (Available models: pixtral-large-latest, mistral-ocr-latest, mistral-medium-2505). This method returns a tuple containing the output image and a JSON result and mcp.types.ImageContent. Returns: Tuple of (output_image_path, result_json, download_btn_visibility)
Inputs: image, model_name, default_strategy, blur_amount, color_hex, gdpr_strategy, ccpa_strategy, pipeda_strategy, lgpd_strategy, pecr_strategy, pdpa_strategy, hipaa_strategy
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: travel_planner_mcp_search_flights
Space: travel-planner-mcp
Description: Search for flights using Google Flights API via SerpAPI. This function retrieves flight information including prices, schedules, and airport details for a given route and date range. Returns: A dictionary containing flight search results including:, Price insights, Best flight options, Airport information, Flight schedules
Inputs: departure_id, arrival_id, outbound_date, return_date, currency
Tags: gradio, mcp-server, region:us
Tool: travel_planner_mcp_search_hotels
Space: travel-planner-mcp
Description: Uses Google Hotels API via SerpAPI to search for hotels and returns property information. Returns: A dictionary containing hotel properties with their details including, prices, ratings, amenities, and location information.
Inputs: query, check_in_date, check_out_date, num_adults, currency, sort_by, min_price, max_price, rating
Tags: gradio, mcp-server, region:us
Tool: minion_space_minion_respond_async
Space: minion-space
Description: Respond to query using specified configuration with optional MCP tools
Inputs: query, preset_model, api_type, api_key, base_url, api_version, model, temperature, max_tokens, route, query_type, check_enabled, use_tools
Tags: gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
Tool: minion_space_minion_respond_async_
Space: minion-space
Description: Respond to query using specified configuration with optional MCP tools
Inputs: query, preset_model, api_type, api_key, base_url, api_version, model, temperature, max_tokens, route, query_type, check_enabled, use_tools
Tags: gradio, mcp-server-track, agent-demo-track, mcp-server, region:us
Tool: mcp_research_paper_explainer_display_search_results
Space: mcp-research-paper-explainer
Description: Display search results in a table. Returns: , id: Short ID of the paper, title: Title of the paper, summary: Summary of the paper, pdf_url: URL of the PDF, published: Publication date
Inputs: topic, max_results
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: Model_Analysis_MCP_process_text_comprehensive_analysis
Space: Model_Analysis_MCP
Description: Processes only text/code descriptions for comprehensive analysis (no ONNX support). Accepts llms_to_query as a string or a list for compatibility.
Inputs: model_input, llms_to_query, analysis_types
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: hackathon_census_mcp_server_import_dec2020_datasets_homepage
Space: hackathon-census-mcp-server
Description: Fetches the homepage for the the U.S. Census Bureau 2020 decennial census API housed at https://api.census.gov/data/2020/dec/dp.html. Contains descriptions of available datasets. Also includes links to additional helpful documentation such as available geographies and example API calls. Returns: The homepage in markdown format
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: hackathon_census_mcp_server_import_dec2020_dp_geographies
Space: hackathon-census-mcp-server
Description: Fetches information on available geographies for the the U.S. Census Bureau 2020 decennial census demographic profile API housed at https://api.census.gov/data/2020/dec/dp/geography.html. Includes: * Geography Levels * Geography Hierarchy. Returns: The information in markdown format
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: hackathon_census_mcp_server_import_dec2020_dp_variables
Space: hackathon-census-mcp-server
Description: Fetches information on available variables for the the U.S. Census Bureau 2020 decennial census demographic profile API housed at https://api.census.gov/data/2020/dec/dp/variables.html. * "Name" -- used to access variable during API calls * "Label" -- description of variable. Returns: The information in markdown format
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: hackathon_census_mcp_server_required_geograpy_hierarchy_parents
Space: hackathon-census-mcp-server
Description: Given the intent to look up a geography hierarchy within from U.S. Census Bureau 2020 decennial census demographic profile API, return the parent geographies that must be included. Returns: List of strings representing the required parent geographies.
Inputs: geography_hierarchy
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: hackathon_census_mcp_server_dec2020_dp_fips_lookup
Space: hackathon-census-mcp-server
Description: Fetches FIPS code for a given geography hierarchy and name. Also returns FIPS code for any parent geographies. Returns: dictionary representing FIPS code values for provided geography_hierarchy.
Inputs: geography_hierarchy, name, required_parent_geographies
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: hackathon_census_mcp_server_dec2020_dp
Space: hackathon-census-mcp-server
Description: Fetches demographic profile data from the U.S. Census Bureau API. Returns: Parsed response with column headers and row data as dictionaries.
Inputs: get_variables, for_clauses, in_clauses
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: hackathon_census_mcp_server_dec2020_dhc_semantic_search
Space: hackathon-census-mcp-server
Description: Perform a semantic search on the 2020 Census Demographic and Housing Characteristics File (DHC) housed at https://www2.census.gov/programs-surveys/decennial/2020/technical-documentation/complete-tech-docs/demographic-and-housing-characteristics-file-and-demographic-profile/2020census-demographic-and-housing-characteristics-file-and-demographic-profile-techdoc.pdf. Returns: The semantically related documents
Inputs: query
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: self_improving_ai_mcp_server_track_agent_node
Space: self-improving-ai-mcp-server
Description: Track a specific node execution within an agent workflow. Call this for each step in your agent. Returns: JSON response with tracking status
Inputs: input_data, output_data, node_name, agent_name, node_type, execution_id, api_key
Tags: gradio, mcp-server, region:us
Tool: CafChem_ADME_calc_adme
Space: CafChem-ADME
Description: Calculate the ADME properties of a molecule from a SMILES string. These properties, covering absorption, distribution, metabolism, and excretion, describe how a drug is transported and is processed by the body. They should follow Lipinkski's rule of 5 for a viable drug. Returns: The qualitative estimate of drug-likeness (QED), the molecular weight, the, distribution coefficient (aLogP), the number of hydrogen bond donors,, the number of hydrogen bond acceptors, the polar surface area,the number, of rotatable bonds, the number of aromatic rings, and the number of undesireable, moieties all in a text string., An image of the molecule.
Inputs: smile
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: CafChem_Vibrations_calc_vibrations
Space: CafChem-Vibrations
Description: Calculate the vibrational frequencies of a molecule using the META UMA MLIP, starting from a SMILES string. Returns: The vibrational frequencies of the molecule in cm-1, the low, frequency motions (typically corresponding to translation or, rotation), and the number of imaginary frequencies in a text string
Inputs: smile, struct_type
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: caption_creator_pro_generate_advanced_caption_interface
Space: caption-creator-pro
Description: Advanced interface function for caption generation
Inputs: uploaded_files, style, audience, custom_prompt
Tags: gradio, Agents-MCP-Hackathon, mcp-server-track, instagram, caption-generator, sambanova, llama, multi-language, huggingface, social-media, ai, computer-vision, translation, content-creation, viral-marketing, mcp-server, region:us
Tool: caption_creator_pro_generate_multiple_captions_interface
Space: caption-creator-pro
Description: Generate multiple caption variations using Meta-Llama-3.2-3B-Instruct
Inputs: uploaded_files, style, audience, custom_prompt
Tags: gradio, Agents-MCP-Hackathon, mcp-server-track, instagram, caption-generator, sambanova, llama, multi-language, huggingface, social-media, ai, computer-vision, translation, content-creation, viral-marketing, mcp-server, region:us
Tool: caption_creator_pro_translate_caption_interface
Space: caption-creator-pro
Description: Generate multi-language versions of captions
Inputs: base_caption, selected_languages
Tags: gradio, Agents-MCP-Hackathon, mcp-server-track, instagram, caption-generator, sambanova, llama, multi-language, huggingface, social-media, ai, computer-vision, translation, content-creation, viral-marketing, mcp-server, region:us
Tool: Jobcy_Remote_Job_Search_search_jobs_ui
Space: Jobcy-Remote-Job-Search
Description: Search remote jobs from the Jobicy API with optional filters. Returns: A dictionary with a "jobs" key containing a list of job dictionaries with:, title: Job title, company: Company name, location: Job location, url: Application or job posting URL, pubDate: Date posted (YYYY-MM-DD), salary: Salary range or 'Not specified', Or an "error" key with an error message if the fetch fails.
Inputs: industry, country, keyword, limit
Tags: gradio, mcp-server-track, jobs, job_search, mcp_server, mcp-server, region:us
Tool: Medicare_Medicaid_LEIE_generate_states
Space: Medicare_Medicaid_LEIE
Description: Function to aggregate the Medicare and Medicaid Entity Exclusions by City and State. System examines the most recent Office of Inspector General (OIG) List of Excluded Individuals and Entities (LEIE) which legally excludes an entity from receiving any Federal Medicare or Medicaid funds. System aggregates the information by city and state, and generates a list ordered by prevalence. Example use case: "Which city and state have the most medicare and medicaid entity exclusions?". Original Data can be found here: https://oig.hhs.gov/exclusions/downloadables/UPDATED.csv
Inputs: limit20
Tags: gradio, mcp-server, region:us
Tool: Medicare_Medicaid_LEIE_generate_top
Space: Medicare_Medicaid_LEIE
Description: Function to aggregate and list Medicare and Medicaid Fraud Practitioner Exclusions by state. System examines the most recent Office of Inspector General List of Excluded Individuals and Entities (LEIE) and aggregates the number of excluded entities by state. A shorter list of the top 20 locations can be returned with a True flag. Example use includes "which states have the most excluded entities?". Original Data can be found here: https://oig.hhs.gov/exclusions/downloadables/UPDATED.csv
Inputs: limit20
Tags: gradio, mcp-server, region:us
Tool: Medicare_Medicaid_LEIE_lookup
Space: Medicare_Medicaid_LEIE
Description: Function to lookup a name in the Office of Inspector General (OIG) List of Excluded Individuals & Entitites (LEIE) who are legally excluded from receiving any Federal Medicare or Medicaid funds for services. Search can look for first name, last name, or both. All persons are presumed innocent unless the name and address match the results of a search. For legal chain of custody reasons, this information is inadmissable, but can be verified on the US Health and Human Services Website here: https://exclusions.oig.hhs.gov/
Inputs: last, first
Tags: gradio, mcp-server, region:us
Tool: video_editing_genie_mcp_server_upload_file_to_server
Space: video_editing_genie_mcp_server
Description: Upload a file to the server's video directory and return a URL. Supports various video formats and handles format detection. Returns: URL to access the uploaded file or None if failed
Inputs: file_path
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_change_aspect_ratio
Space: video_editing_genie_mcp_server
Description: Change video aspect ratio with high-quality processing. Returns: URL to processed video or None if failed, , Supports standard ratios with optimal dimensions, Maintains quality with lanczos scaling, Handles padding with black bars, Preserves original audio, Ensures even dimensions for compatibility
Inputs: video_url, target_ratio, method
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_add_text_overlay
Space: video_editing_genie_mcp_server
Description: Add text overlay to video with precise positioning and timing control. Returns: URL to output video or None if failed
Inputs: video_url, text, start_time, end_time, font_size, font_color, x_pos, y_pos, box, box_color, box_border_width, font_file
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_change_speed
Space: video_editing_genie_mcp_server
Description: Change video playback speed while maintaining audio quality. Returns: URL to processed video or None if failed, , Handles audio speed limits (0.5-2.0) by chaining atempo filters, Maintains video and audio synchronization, Preserves original quality
Inputs: video_url, speed_factor
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_extract_audio
Space: video_editing_genie_mcp_server
Description: Extract high-quality audio from video in various formats. Returns: URL to extracted audio or None if failed, , Supports multiple audio formats with appropriate codecs, Maintains original audio quality, Handles various input video formats
Inputs: video_url, audio_format
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_apply_color_filter
Space: video_editing_genie_mcp_server
Description: Apply professional-grade color filters to video. Returns: URL to processed video or None if failed, , Implements various color transformations, Supports intensity control, Maintains video quality, Preserves original audio
Inputs: video_url, filter_type, intensity
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_merge_videos
Space: video_editing_genie_mcp_server
Description: Merge multiple videos into a single video. Returns: URL to merged video or None if failed, , Handles various input formats, Maintains original quality, Preserves audio from all videos, Gracefully handles failed downloads
Inputs: video_urls
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_add_audio_to_video
Space: video_editing_genie_mcp_server
Description: Add audio to video with precise timing and volume control. Returns: URL to processed video or None if failed, , Supports both local and remote audio files, Handles audio mixing with original track, Maintains video quality, Preserves audio synchronization
Inputs: video_url, audio_path, start_time, volume, keep_original_audio
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_analyze_video_context
Space: video_editing_genie_mcp_server
Description: This is an AI modal that can analyze the entire video along with timestamps. You can use this to analyze the context of a video. Returns: The response from the GEMINI AI MODEL.
Inputs: video_url, task
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_edit_video_segment
Space: video_editing_genie_mcp_server
Description: Edit a video segment by either cutting it out or keeping only that segment. Returns: URL to processed video or None if failed, , For "keep": Extracts segment with 1-second padding for smooth transitions, For "cut": Splits video into segments and concatenates non-cut portions, Preserves both video and audio quality, Uses x264 for video and AAC for audio encoding
Inputs: video_url, start_time, end_time, action
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_generate_word_level_subtitles_from_url
Space: video_editing_genie_mcp_server
Description: Generate and add word-level subtitles to video from URL. Returns: URL to processed video or error message, , Downloads and validates video, Fetches word-level transcription, Generates SRT subtitles, Applies styling and positioning, Maintains video quality, Handles cleanup of temporary files
Inputs: video_url, font_size, font_color, position, font_name, outline_color, outline_width
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: video_editing_genie_mcp_server_search_audio_from_envato
Space: video_editing_genie_mcp_server
Description: Search Envato's audio library for royalty-free sound effects and music. Returns: List of audio items with metadata and preview URLs
Inputs: query, limit, category, length_min, length_max, tags, free_only
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: AutoML_MCP_update_detected_columns_display
Space: AutoML-MCP
Description: Detects and displays column names from the uploaded file or URL as soon as the input changes, before the main analysis button is pressed.
Inputs: file_data, url_data
Tags: gradio, machine-learning, mcp, hackathon, automl, lazypredict, mcp-server-track, agent-demo-track, mcp-server, region:us
Tool: AutoML_MCP_update_detected_columns_display_
Space: AutoML-MCP
Description: Detects and displays column names from the uploaded file or URL as soon as the input changes, before the main analysis button is pressed.
Inputs: file_data, url_data
Tags: gradio, machine-learning, mcp, hackathon, automl, lazypredict, mcp-server-track, agent-demo-track, mcp-server, region:us
Tool: stock_predictions_daily_analysis
Space: stock-predictions
Description: Process daily timeframe stock analysis and generate predictions. Returns: A tuple containing:, Trading signals dictionary, Plotly figure with price and technical analysis, Product metrics dictionary, Risk metrics dictionary, Sector metrics dictionary, , >>> daily_analysis("AAPL", 30, 365, "chronos"), 'Neutral', 'MACD': 'Buy', ...}, <Figure>, {...}, {...}, {...})
Inputs: s, pd, ld, st
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: stock_predictions_hourly_analysis
Space: stock-predictions
Description: Process hourly timeframe stock analysis and generate predictions. Returns: A tuple containing:, Trading signals dictionary, Plotly figure with price and technical analysis, Product metrics dictionary, Risk metrics dictionary, Sector metrics dictionary, , >>> hourly_analysis("AAPL", 3, 14, "chronos"), 'Neutral', 'MACD': 'Buy', ...}, <Figure>, {...}, {...}, {...})
Inputs: s, pd, ld, st
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: stock_predictions_min15_analysis
Space: stock-predictions
Description: Process 15-minute timeframe stock analysis and generate predictions. Returns: A tuple containing:, Trading signals dictionary, Plotly figure with price and technical analysis, Product metrics dictionary, Risk metrics dictionary, Sector metrics dictionary, , >>> min15_analysis("AAPL", 1, 3, "chronos"), 'Neutral', 'MACD': 'Buy', ...}, <Figure>, {...}, {...}, {...})
Inputs: s, pd, ld, st
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: Convert_to_Json_text_to_json
Space: Convert-to-Json
Description: Convert plain text to structured JSON using Osmosis Structure model. This function takes unstructured text and optionally a JSON schema, then uses the Osmosis Structure model to convert it into well-formatted JSON. The output will follow the provided schema if one is given, otherwise it will create a logical structure based on the input text. Returns: A JSON string containing the structured data, or an error message if something went wrong., , >>> input_text = "The conference will be held on June 10-12, 2024 at the Grand Hotel.", "object", "properties": {"event_start_date": {"type": "string", "format": "date"}}}', >>> result = text_to_json(input_text, schema), >>> print(result), {, "2024-06-10", }
Inputs: input_text, schema_text, max_tokens, temperature, top_p, top_k
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: Convert_to_Json_text_to_json_
Space: Convert-to-Json
Description: Convert plain text to structured JSON using Osmosis Structure model. This function takes unstructured text and optionally a JSON schema, then uses the Osmosis Structure model to convert it into well-formatted JSON. The output will follow the provided schema if one is given, otherwise it will create a logical structure based on the input text. Returns: A JSON string containing the structured data, or an error message if something went wrong., , >>> input_text = "The conference will be held on June 10-12, 2024 at the Grand Hotel.", "object", "properties": {"event_start_date": {"type": "string", "format": "date"}}}', >>> result = text_to_json(input_text, schema), >>> print(result), {, "2024-06-10", }
Inputs: input_text, schema_text, max_tokens, temperature, top_p, top_k
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: kaggle_mcp_competitions_list
Space: kaggle-mcp
Description: List Kaggle competitions with optional filtering and pagination. Returns: Formatted JSON string containing list of competitions with their details, , Each page contains 20 competitions. Use pagination for larger result sets.
Inputs: group, category, sort_by, page, search, kaggle_user, kaggle_key
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: kaggle_mcp_competition_view
Space: kaggle-mcp
Description: View detailed information about a specific competition including leaderboard. Returns: Formatted JSON string containing competition leaderboard data, , This function specifically returns leaderboard information. For file listings,, use separate API calls to the competitions files endpoint., , competition_view("titanic") returns leaderboard standings for the Titanic competition
Inputs: competition, kaggle_user, kaggle_key
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: kaggle_mcp_datasets_list
Space: kaggle-mcp
Description: List Kaggle datasets with comprehensive filtering options. Returns: Formatted JSON string containing list of datasets with metadata, , datasets_list(search="covid", file_type="csv", sort_by="hottest", max_size=10), Returns top 10 hottest COVID-related CSV datasets
Inputs: sort_by, max_size_in_bytes, min_size_in_bytes, file_type, license_name, tag_ids, search, user, page, max_size, kaggle_user, kaggle_key
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: kaggle_mcp_dataset_view
Space: kaggle-mcp
Description: View comprehensive details about a specific dataset. Returns: Formatted JSON string containing combined dataset information:, metadata: Dataset description, tags, license, creation date, etc., files: List of all files in the dataset with sizes and types, , dataset_view("zillow/zecon") returns complete information about Zillow's economic dataset, , The dataset parameter must include both owner and dataset name separated by a slash
Inputs: dataset, kaggle_user, kaggle_key
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: kaggle_mcp_kernels_list
Space: kaggle-mcp
Description: List Kaggle kernels (notebooks/scripts) with extensive filtering capabilities. Returns: Formatted JSON string containing array of kernel objects with metadata, , kernels_list(language="python", sort_by="hottest", competition="titanic", page_size=10), Returns top 10 hottest Python kernels for the Titanic competition
Inputs: sort_by, page, page_size, search, mine, user, kernel_type, output_type, competition, dataset, kaggle_user, kaggle_key
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: kaggle_mcp_models_list
Space: kaggle-mcp
Description: List available models in Kaggle's model hub with filtering options. Returns: Formatted JSON string containing array of model objects with:, slug: Model identifier, title: Model title, subtitle: Brief description, author: Model author/organization, isPrivate: Privacy status, creationDate: When model was published, downloadCount: Number of downloads, voteCount: Community votes, usabilityRating: User rating score, , models_list(sort_by="downloadCount", search="bert", page_size=10), Returns top 10 most downloaded BERT-related models, , Kaggle's model hub contains both official models from organizations and, community-contributed models with various licenses and formats.
Inputs: sort_by, search, owner, page_size, kaggle_user, kaggle_key
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: cybersec_intel_tool_get_latest_threats
Space: cybersec_intel-tool
Description: Fetches CVEs from the CISA KEV catalog filtered by cutoff date, enriches them with CVSS scores (via CVE-AWG) and CWE data (via CWE scraper). Returns: A dictionary with key 'threats' containing a list of enriched CVE records., Each record includes CVE ID, vulnerability details, CVSS score, CWE name,, CWE consequences, mitigations, and other related fields.
Inputs: cutoff_date
Tags: gradio, mcp-server, region:us
Tool: pharmacy_mcp_search_adverse_events_mcp
Space: pharmacy-mcp
Description: Searches the FDA Adverse Event Reporting System (FAERS) database for adverse events associated with a specific drug. This tool is useful for initial investigation into a drug's safety profile by retrieving summaries of reported adverse event cases. It provides a quick overview of potential side effects reported by healthcare professionals and the public. Returns: JSON string with adverse event contexts and metadata
Inputs: drug_name, limit
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_fetch_event_details_mcp
Space: pharmacy-mcp
Description: Retrieves the complete details of a specific adverse event case from the FDA Adverse Event Reporting System (FAERS) using its unique safety report ID. Use this tool when you need to dive deep into a particular case found via 'search_adverse_events_mcp' to understand the full context, including patient demographics, concomitant medications, and the full narrative of the event. Returns: JSON string with structured case data including drugs, reactions, and full record
Inputs: event_id
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_drug_label_warnings_mcp
Space: pharmacy-mcp
Description: Fetches critical safety information from the official FDA drug label. This includes boxed warnings (the most serious type), contraindications (situations where the drug should not be used), and known drug interactions. This is a primary tool for assessing a drug's major safety risks before prescribing or dispensing. Returns: JSON string with boxed warnings, contraindications, and interaction data
Inputs: drug_name
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_drug_recalls_mcp
Space: pharmacy-mcp
Description: Searches for recent FDA-issued recall events for a specific drug product. This is critical for ensuring patient safety by identifying if a drug or specific batch has been recalled due to manufacturing defects, contamination, or other safety concerns. The results include details on the recall reason, status, and affected lots. Returns: JSON string with recall notices including recall number, status, and reason
Inputs: drug_name, limit
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_drug_pregnancy_lactation_mcp
Space: pharmacy-mcp
Description: Retrieves specific sections from the FDA drug label related to use during pregnancy and lactation. This tool is essential for assessing the safety of a medication for patients who are pregnant, planning to become pregnant, or breastfeeding. It provides the official guidance and available data on potential risks. Returns: JSON string with pregnancy text, lactation text, and reproductive potential information
Inputs: drug_name
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_drug_dose_adjustments_mcp
Space: pharmacy-mcp
Description: Extracts dosing adjustment recommendations for patients with kidney (renal) or liver (hepatic) impairment from the official FDA drug label. This is a crucial tool for safe and effective dosing in special populations where standard doses may be harmful or ineffective. Returns: JSON string with renal and hepatic dosing excerpts
Inputs: drug_name
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_drug_livertox_summary_mcp
Space: pharmacy-mcp
Description: Queries the NIH LiverTox database to retrieve a summary of a drug's potential for causing liver injury (hepatotoxicity). This tool is valuable for investigating or assessing the risk of drug-induced liver damage, providing information on the mechanism of injury, and clinical management advice. Returns: JSON string with hepatotoxicity data, mechanism of injury, and management information
Inputs: drug_name
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_brand_to_generic_lookup_mcp
Space: pharmacy-mcp
Description: Converts a drug brand name to its generic (active ingredient) name. It can also provide information on the countries where the brand name is marketed. This tool is fundamental for identifying the active component of a branded medication, which is necessary for most other clinical lookups and to avoid therapeutic duplication. Returns: JSON string with generic drug information and country-specific data
Inputs: brand_name
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_calculate_drug_burden_index_mcp
Space: pharmacy-mcp
Description: Calculates the Drug Burden Index (DBI) for a patient's medication list. The DBI is a measure of a person's total exposure to anticholinergic and sedative drugs, which are associated with an increased risk of falls and cognitive impairment, especially in the elderly. This intelligent version automatically detects the route of administration for each medication (e.g., oral, transdermal patches, parenteral injections) and uses the appropriate reference data for each route, making it suitable for complex, real-world medication regimens. Returns: JSON string with DBI calculation results broken down by route and individual drug contributions
Inputs: drug_list
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_calculate_creatinine_clearance_mcp
Space: pharmacy-mcp
Description: Calculates a patient's creatinine clearance (CrCl) using the Cockcroft-Gault equation. CrCl is an estimate of the glomerular filtration rate (GFR) and is widely used to determine appropriate dose adjustments for drugs that are cleared by the kidneys. This is a standard clinical calculator for renal function assessment. Returns: JSON string with creatinine clearance calculation and interpretation
Inputs: age, weight_kg, serum_creatinine, is_female
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_calculate_egfr_mcp
Space: pharmacy-mcp
Description: Calculates the estimated Glomerular Filtration Rate (eGFR) using the CKD-EPI 2021 equation. eGFR is a key indicator of kidney function and is used to diagnose, stage, and manage Chronic Kidney Disease (CKD). This is the preferred method for assessing kidney function in many clinical guidelines. Returns: JSON string with eGFR calculation and CKD stage interpretation
Inputs: age, serum_creatinine, is_female, is_black
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_calculate_child_pugh_score_mcp
Space: pharmacy-mcp
Description: Calculates the Child-Pugh score, a well-established tool for assessing the prognosis of chronic liver disease, primarily cirrhosis. The score is used to determine the severity of liver disease and to guide dosage adjustments for drugs that are metabolized by the liver. Returns: JSON string with Child-Pugh score, class, and prognosis information
Inputs: bilirubin, albumin, inr, ascites, encephalopathy
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_calculate_bmi_mcp
Space: pharmacy-mcp
Description: Calculates a person's Body Mass Index (BMI) based on their weight and height. BMI is a widely used screening tool to categorize weight status (e.g., underweight, normal weight, overweight, obese) and identify potential health risks associated with weight. Returns: JSON string with BMI calculation and weight category classification
Inputs: weight_kg, height_cm
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_calculate_ideal_body_weight_mcp
Space: pharmacy-mcp
Description: Calculates a patient's Ideal Body Weight (IBW) using the Devine formula. IBW is used in various clinical contexts, including for calculating the dose of certain medications (e.g., aminophylline, digoxin) and for assessing nutritional status. Returns: JSON string with IBW calculation.
Inputs: height_cm, is_male
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_recommend_dosing_weight_mcp
Space: pharmacy-mcp
Description: Recommends the most appropriate weight to use for medication dosing calculations (i.e., actual, ideal, or adjusted body weight) based on the patient's actual weight and height. This is crucial for obese or underweight patients, as using the wrong weight can lead to sub-therapeutic or toxic drug levels for certain medications. Returns: JSON string with dosing weight recommendation and rationale
Inputs: actual_weight, height_cm, is_male
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_convert_creatinine_units_mcp
Space: pharmacy-mcp
Description: Converts serum creatinine values between the two standard units of measurement: milligrams per deciliter (mg/dL) and micromoles per liter (μmol/L). This is essential for interoperability, as different laboratories and clinical calculators may use different units. Returns: JSON string with converted creatinine value and conversion factor
Inputs: value, from_unit, to_unit
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_enhanced_faers_search_mcp
Space: pharmacy-mcp
Description: Performs an advanced search of the FDA Adverse Event Reporting System (FAERS) database with powerful filtering options. This tool is designed for in-depth pharmacovigilance analysis, allowing users to narrow down adverse event reports by patient age, gender, and the seriousness of the event. It's ideal for identifying trends and patterns in drug safety data. Use this tool particularly if the user asks about a specific adverse event or reaction. Returns: JSON string with enhanced case data including demographics and outcomes
Inputs: drug_name, adverse_event, age_range, gender, serious_only, limit
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_calculate_naranjo_score_mcp
Space: pharmacy-mcp
Description: Calculates the Naranjo score, a standardized and widely used causality assessment tool to determine the probability that an adverse event is related to a specific drug. The score helps clinicians and researchers classify the likelihood of an adverse drug reaction (ADR) as doubtful, possible, probable, or definite. Sometimes the user might not have provided all the information, so you will need to ask for the missing information (remember to give them the option to say "unknown" if they don't know the answer). Returns: JSON string with score, probability category, and detailed breakdown
Inputs: adverse_reaction_after_drug, reaction_improved_after_stopping, reaction_reappeared_after_readministration, alternative_causes_exist, reaction_when_placebo_given, drug_detected_in_blood, reaction_worse_with_higher_dose, similar_reaction_to_drug_before, adverse_event_confirmed_objectively, reaction_appeared_after_suspected_drug_given
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_disproportionality_analysis_mcp
Space: pharmacy-mcp
Description: Performs a disproportionality analysis (also known as signal detection) on adverse event data. This statistical method compares the reporting rate of a specific drug-event combination to the reporting rate of that event for all other drugs in the database. It calculates metrics like Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR) to identify potential safety signals that may warrant further investigation. Returns: JSON string with PRR, ROR, IC values and statistical significance
Inputs: drug_name, adverse_event, background_limit
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_find_similar_cases_mcp
Space: pharmacy-mcp
Description: Identifies and retrieves adverse event cases from the FAERS database that are similar to a given reference case. Similarity is calculated based on a combination of patient demographics (age, gender), reported reactions, and concomitant drugs. This tool is useful for contextualizing a specific case and identifying potential case series for further review. Returns: JSON string with similar cases and similarity scores
Inputs: reference_case_id, similarity_threshold, limit
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: pharmacy_mcp_temporal_analysis_mcp
Space: pharmacy-mcp
Description: Analyzes the temporal relationship between drug administration and the onset of adverse events. This tool provides insights into the typical time-to-onset for a specific drug-associated adverse event, which can be a critical factor in causality assessment. It helps determine if the timing of the event is consistent with the drug's known pharmacology. Returns: JSON string with temporal patterns and time-to-onset analysis
Inputs: drug_name, adverse_event, limit
Tags: gradio, pharmacology, clinical-pharmacy, healthcare, drug-information, calculator, mcp-server-track, mcp-server, region:us
Tool: OnlineSafetyMonitor_toxicity_counter
Space: OnlineSafetyMonitor
Description: Count the toxicity score for the comment or phrase. Returns: The score of toxicity ranging from 0 to 1, 0 is lowest and 1 is highest
Inputs: comment
Tags: gradio, Agents-MCP-Hackathon, mcp-server-track, OnlineSafteyMonitor, mcp-server, region:us