alihmaou/Agents_MCP_Hackathon_Tools_List huggingface dataset:
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: PomoCat_pomodoro_manager
Space: PomoCat
Description: Manage pomodoro work sessions and provide AI encouragement. This function handles all pomodoro-related commands including starting work sessions, taking breaks, checking status, and providing AI-powered motivational support. It enforces a minimum 20-minute work requirement before allowing breaks. Returns: Response message with session status, encouragement, or command results
Inputs: user_query
Tags: gradio, mcp-server, region:us
Tool: PomoCat_pomodoro_manager_
Space: PomoCat
Description: Manage pomodoro work sessions and provide AI encouragement. This function handles all pomodoro-related commands including starting work sessions, taking breaks, checking status, and providing AI-powered motivational support. It enforces a minimum 20-minute work requirement before allowing breaks. Returns: Response message with session status, encouragement, or command results
Inputs: user_query
Tags: gradio, mcp-server, region:us
Tool: RAGEval_Studio_hallucination_detector
Space: RAGEval-Studio
Description: Detects hallucinations by comparing generation sentences to source sentences using cosine similarity. Flags generation sentences with max similarity < 0.75 as hallucinated. Returns: Hallucination flags and their similarity scores.
Inputs: generation, source_docs
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: RAGEval_Studio_bm25_relevance_scorer
Space: RAGEval-Studio
Description: Compute relevance scores between a query and a list of documents using the BM25 algorithm. This tool tokenizes each document and the query using a simple whitespace and punctuation-based tokenizer, then calculates BM25 scores to measure how relevant each document is to the query. Returns: A dictionary containing:, 'tool': The name of the tool ("BM25 Relevance Scorer")., 'query': The input query., 'results': A list of dictionaries, each with:, 'document': The original document string., 'score': The BM25 relevance score (higher means more relevant).
Inputs: query, documents
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: RAGEval_Studio_semantic_relevance_scorer
Space: RAGEval-Studio
Description: Compute semantic relevance scores between a query and a list of documents using cosine similarity. This tool encodes the query and documents using a sentence embedding model, then calculates pairwise cosine similarity scores to determine how semantically similar each document is to the query. Returns: A dictionary containing:, 'tool': The name of the tool ("Semantic Relevance Scorer")., 'query': The input query., 'results': A list of dictionaries with:, 'document': The original document text., 'score': A float representing cosine similarity between the query and the document (0 to 1).
Inputs: query, documents
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: RAGEval_Studio_redundancy_checker
Space: RAGEval-Studio
Description: Detect redundant or highly similar document pairs using semantic similarity. This tool encodes all documents into embeddings and computes cosine similarity scores between every pair. It flags document pairs with similarity greater than 0.8 as redundant. Returns: A dictionary containing:, 'tool': The name of the tool ("Redundancy Checker")., 'results': A list of redundant document pairs with their similarity scores,, or a message indicating no redundancy if none are found.
Inputs: _, documents
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: RAGEval_Studio_exact_match_checker
Space: RAGEval-Studio
Description: Check if each document contains the exact query string as a substring (case-insensitive). This tool performs a case-insensitive substring search to determine whether the query appears in each document exactly as entered (without tokenization or semantic matching). Returns: A dictionary containing:, 'tool': The name of the tool ("Exact Match Checker")., 'query': The input query string., 'results': A list of dictionaries with:, 'document': The original document., 'exact_match': A boolean indicating if the query is an exact substring of the document.
Inputs: query, documents
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: synapse_mcp_memory_server_store_memory
Space: synapse-mcp-memory-server
Description: Store a new memory and return feedback.
Inputs: content, memory_type, context, tags
Tags: gradio, mcp, memory, ai-agents, knowledge-graph, gradio-hackathon-2025, self-evolving, metacognition, 3d-visualization, mcp-tool-server-track, mcp-server, region:us
Tool: synapse_mcp_memory_server_search_memory
Space: synapse-mcp-memory-server
Description: Search memories and return results.
Inputs: query, memory_type, limit
Tags: gradio, mcp, memory, ai-agents, knowledge-graph, gradio-hackathon-2025, self-evolving, metacognition, 3d-visualization, mcp-tool-server-track, mcp-server, region:us
Tool: synapse_mcp_memory_server_get_visualization
Space: synapse-mcp-memory-server
Description: Get memory network visualization.
Inputs: focus_node, depth
Tags: gradio, mcp, memory, ai-agents, knowledge-graph, gradio-hackathon-2025, self-evolving, metacognition, 3d-visualization, mcp-tool-server-track, mcp-server, region:us
Tool: synapse_mcp_memory_server_get_visualization_
Space: synapse-mcp-memory-server
Description: Get memory network visualization.
Inputs: focus_node, depth
Tags: gradio, mcp, memory, ai-agents, knowledge-graph, gradio-hackathon-2025, self-evolving, metacognition, 3d-visualization, mcp-tool-server-track, mcp-server, region:us
Tool: uk_property_mcp_interest_calculator
Space: uk-property-mcp
Description: Calculates the simple interest payable for a given principal amount based on the current Bank of England base rate. Returns: A string detailing the principal, interest payable, and the annual interest rate,, or an error message if the calculation fails.
Inputs: principal
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: uk_property_mcp_monthly_payment
Space: uk-property-mcp
Description: Calculates the fixed monthly payment for a loan based on the principal amount, number of years, and the current Bank of England base rate. Returns: The calculated monthly payment as a string, or an error message if the, calculation fails or interest rate data cannot be fetched.
Inputs: principal, number_of_years
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: uk_property_mcp_search_internet
Space: uk-property-mcp
Description: **Navigates to a specified URL, performs web scraping based on a given task, and returns relevant information in a human-readable sentence(s).**. Returns: A string containing the extracted information or a summary of the, Browse outcome. This will be a human-readable sentence or paragraph., Returns an error message if navigation or scraping fails.
Inputs: url, task
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: uk_property_mcp_get_agency_review
Space: uk-property-mcp
Description: Retrieves and formats the review information for a given agency name. It first finds the place_id using names by google maps api and then fetches the review data using the place_id. Finally, it constructs a summary of the review data in string format. Returns: A formatted string summarizing the agency's rating and review count,, or an error message if the data cannot be found.
Inputs: name
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: uk_property_mcp_calculate_stamp_duty
Space: uk-property-mcp
Description: Calculates the Stamp Duty Land Tax (SDLT) for a property purchase in England or Northern Ireland. This function uses predefined tax bands and rates. It considers whether the buyer is a first-time buyer and if the property is an additional property, applying relevant thresholds and surcharges. Returns: A dictionary containing the total stamp duty, property price,, buyer status flags, and a breakdown of the calculation by tax band.
Inputs: property_price, is_first_time_buyer, is_additional_property
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: uk_property_mcp_home_buying_tax_calculator_browser_use
Space: uk-property-mcp
Description: Uses a browser automation agent to navigate the UK government's Stamp Duty Land Tax (SDLT) calculator website and retrieve the total SDLT due based on provided property and purchaser details. This tool is specifically for properties in England or Northern Ireland. Returns: The result from the browser interaction, typically the total SDLT due or an, error message if the process fails.
Inputs: region, property_type, day, month, year, purchaser_type, purchaser_purpose, more_properties, replace, First_time_Buyer, main_residence, price
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_get_all_proxies
Space: frpc-centralized-panel-mcp
Description: 获取所有隧道 返回的格式为： ```json { "status": "成功", "message": "获取客户端列表成功", "data": [ { "program_id": 0, "name": "ssh-t4", "type": "tcp", "localIp": "10.0.0.1", "localPort": 22, "remotePort": 1022 } ] } ``` - `status`: 操作状态，成功或失败 - `message`: 操作信息 - `data`: 客户端列表，格式为json数组，每个元素包含以下 - `program_id`: 客户端ID - `name`: 隧道名称 - `type`: 隧道类型 - `localIp`: 本地IP地址 - `localPort`: 本地端口 - `remotePort`: 远程端口. Returns: 包含状态和信息的json, 格式为`{"status": "成功"|"失败", "message": "消息", "data": 数据, json格式, 如失败data为None}`
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_get_proxy_by_program_id
Space: frpc-centralized-panel-mcp
Description: 根据客户端ID获取该客户端下的所有隧道 返回的格式为： ```json { "status": "成功", "message": "获取客户端列表成功", "data": [ { "name": "ssh-t4", "type": "tcp", "localIp": "10.0.0.1", "localPort": 22, "remotePort": 1022 } ] } ``` - `status`: 操作状态，成功或失败 - `message`: 操作信息 - `data`: 客户端列表，格式为json数组，每个元素包含以下 - `name`: 隧道名称 - `type`: 隧道类型 - `localIp`: 本地IP地址 - `localPort`: 本地端口 - `remotePort`: 远程端口. Returns: 包含状态和信息的json, 格式为`{"status": "成功"|"失败", "message": "消息", "data": 数据, json格式, 如失败data为Nano}`
Inputs: program_id
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_get_proxy_by_name
Space: frpc-centralized-panel-mcp
Description: 根据proxy_name获取代理信息 返回的格式为： ```json { "status": "成功", "message": "获取客户端列表成功", "data": { "name": "ssh-t4", "type": "tcp", "localIp": "10.0.0.1", "localPort": 22, "remotePort": 1022 } } ``` - `status`: 操作状态，成功或失败 - `message`: 操作信息 - `data`: 隧道配置，格式为json数组，每个元素包含以下 - `name`: 隧道名称 - `type`: 隧道类型 - `localIp`: 本地IP地址 - `localPort`: 本地端口 - `remotePort`: 远程端口. Returns: 包含状态和信息的json, 格式为`{"status": "成功"|"失败", "message": "消息", "data": 数据, json格式, 如失败data为Nano}`
Inputs: program_id, proxy_name
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_new_proxy
Space: frpc-centralized-panel-mcp
Description: 新建隧道 数据(data参数)的格式： ```json { "name": "ssh-t4", "type": "tcp", "localIp": "10.0.0.1", "localPort": 22, "remotePort": 1022 } ``` - `name`: 隧道名称 - `type`: 隧道类型 - `localIp`: 本地IP地址 - `localPort`: 本地端口 - `remotePort`: 远程端口. Returns: 格式为 `{"status": "成功"|"失败", "message": "内容"}` 的字典
Inputs: program_id, data
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_update_proxy_by_name
Space: frpc-centralized-panel-mcp
Description: 修改隧道 数据(data参数)的格式： ```json { "name": "ssh-t4", "type": "tcp", "localIp": "10.0.0.1", "localPort": 22, "remotePort": 1022 } ``` - `name`: 隧道名称，需要是存在的隧道 - `type`: 隧道类型，必须和原隧道一样，不支持修改 - `localIp`: 本地IP地址 - `localPort`: 本地端口 - `remotePort`: 远程端口. Returns: 格式为 `{"status": "成功"|"失败", "message": "内容"}` 的字典
Inputs: program_id, data
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_delete_proxy_by_name
Space: frpc-centralized-panel-mcp
Description: 根据隧道名删除隧道 根据隧道名删除隧道，如果隧道不存在则返回失败。 注意: 使用这个函数之前一定要得到用户的肯定!丢失的数据无法复原!. Returns: 格式为 `{"status": "成功"|"失败", "message": "内容"}` 的字典
Inputs: program_id, proxy_name
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_get_all_visitors
Space: frpc-centralized-panel-mcp
Description: 获取所有观察者 返回的格式为： ```json { "status": "成功", "message": "获取客户端列表成功", "data": [ { "program_id": 0, "name": "stcp1-visitor", "type": "stcp", "serverName": "stcp", "secretKey": "key", "bindAddr" = "127.0.0.1", "bindPort" = 6000 } ] } ``` - `status`: 操作状态，成功或失败 - `message`: 操作信息 - `data`: 客户端列表，格式为json数组，每个元素包含以下 - `program_id`: 客户端ID - `name`: 观察者名称 - `type`: 观察者类型 - `serverName`: 服务名称 - `secretKey`: 观察者的认证密钥，用于安全通信 - `bindAddr`: 绑定到本地的IP - `bindPort`: 绑定到本地的端口号. Returns: 包含状态和信息的json, 格式为`{"status": "成功"|"失败", "message": "消息", "data": 数据, json格式, 如失败data为None}`
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_get_visitors_by_program_id
Space: frpc-centralized-panel-mcp
Description: 获取指定客户端ID下的观察者配置文件 返回的格式为： ```json { "status": "成功", "message": "获取客户端列表成功", "data": [ { "name": "stcp1-visitor", "type": "stcp", "serverName": "stcp", "secretKey": "key", "bindAddr" = "127.0.0.1", "bindPort" = 6000 } ] } ``` - `status`: 操作状态，成功或失败 - `message`: 操作信息 - `data`: 客户端列表，格式为json数组，每个元素包含以下 - `name`: 观察者名称 - `type`: 观察者类型 - `serverName`: 服务名称 - `secretKey`: 观察者的认证密钥，用于安全通信 - `bindAddr`: 绑定到本地的IP - `bindPort`: 绑定到本地的端口号. Returns: 包含状态和信息的json, 格式为`{"status": "成功"|"失败", "message": "消息", "data": 数据, json格式, 如失败data为None}`
Inputs: program_id
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_get_visitor_by_name
Space: frpc-centralized-panel-mcp
Description: 获取指定客户端ID下的指定name的观察者配置文件 返回的格式为： ```json { "status": "成功", "message": "获取观察者成功", "data": [ { "name": "stcp1-visitor", "type": "stcp", "serverName": "stcp", "secretKey": "key", "bindAddr" = "127.0.0.1", "bindPort" = 6000 } ] } ``` - `status`: 操作状态，成功或失败 - `message`: 操作信息 - `data`: 客户端列表，格式为json数组，每个元素包含以下 - `name`: 观察者名称 - `type`: 观察者类型 - `serverName`: 服务名称 - `secretKey`: 观察者的认证密钥，用于安全通信 - `bindAddr`: 绑定到本地的IP - `bindPort`: 绑定到本地的端口号. Returns: 包含状态和信息的json, 格式为`{"status": "成功"|"失败", "message": "消息", "data": 数据, json格式, 如失败data为None}`
Inputs: program_id, visitor_name
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_new_visitor
Space: frpc-centralized-panel-mcp
Description: 新建指定客户端 ID 下的观察者配置 传入参数示例(不是全部): - program_id: 客户端 ID，整数或字符串 - data: 新观察者配置，JSON 字符串。必须包含以下字段： - name: 观察者名称，和要修改的name一致 - type: 观察者类型，和要修改的type一致 - serverName: 服务端名称，用于关联后端服务 - secretKey: 认证密钥，用于安全通信 - bindAddr: 绑定的本地 IP 地址（例如 "127.0.0.1"） - bindPort: 绑定的本地端口（整数, 65535 以内） 返回的格式: ```json { "status": "成功"|"失败", "message": "提示信息" } ```. Returns: 操作结果，格式 `{"status": "成功"|"失败", "message": "具体信息"}`
Inputs: program_id, data
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_update_visitor_by_name
Space: frpc-centralized-panel-mcp
Description: 修改指定客户端 ID 下的观察者配置 传入参数示例(不是全部): - program_id: 客户端 ID，整数或字符串 - data: 观察者配置，JSON 字符串。必须包含以下字段： - name: 观察者名称，和要修改的name一致 - type: 观察者类型，和要修改的type一致 - serverName: 服务名称 - secretKey: 认证密钥，用于安全通信 - bindAddr: 绑定的本地 IP 地址（例如 "127.0.0.1"） - bindPort: 绑定的本地端口（整数, 65535 以内） 返回的格式: ```json { "status": "成功"|"失败", "message": "提示信息" } ```. Returns: 操作结果，格式 `{"status": "成功"|"失败", "message": "具体信息"}`
Inputs: program_id, data
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_delete_visitor_by_name
Space: frpc-centralized-panel-mcp
Description: 删除指定观察者 返回的格式: ```json { "status": "成功"|"失败", "message": "提示信息" } ```. Returns: 返回操作结果
Inputs: program_id, visitor_name
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_list_programs
Space: frpc-centralized-panel-mcp
Description: 返回frpc客户端列表 返回的格式为： ```json { "status": "成功", "message": "获取客户端列表成功", "data": [ { "id": 0, "name": "示例 HK", "description": "连接HK的客户端", "status": "运行", }, ] } ``` - `status`: 操作状态，成功或失败 - `message`: 操作信息 - `data`: 客户端列表，格式为json数组，每个元素包含以下 - `id`: 客户端唯一标识 - `name`: 用户给客户端备注的名字 - `description`: 用户给的客户端备注，选填 - `status`: 客户端状态，目前有三种：运行、停止和为运行 - `运行`: 客户端正在运行 - `停止`: 客户端已停止 - `未运行`: 客户端在MCP服务器启动后没运行过. Returns: 包含状态和信息的json, 格式为`{"status": "成功"|"失败", "message": "消息", "data": 数据, json格式, 如失败data为Nano}`
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_program_controller
Space: frpc-centralized-panel-mcp
Description: 根据指定操作控制FRPC客户端程序 支持的操作类型包括： - 启动(start)：创建并运行新的客户端实例 - 停止(stop)：终止正在运行的客户端实例 - 重启(restart)：先停止后启动客户端 - 热重载(reload)：在运行时更新配置 请求参数示例： ```json { "program_id": "1", "action": "start" } ``` 返回值格式： ```json { "status": "成功|失败", "message": "操作描述信息", } ``` 异常处理逻辑： 1. 程序ID不存在：触发数据库查询失败 2. 非法操作类型：触发不支持的操作类型错误 3. 文件缺失：启动时检查可执行文件和配置文件存在性 4. ID格式错误：字符串ID转数字失败时触发. Returns: 包含状态和信息的JSON对象，格式为：, {, "成功|失败",, "描述操作结果的具体信息",, }
Inputs: program_id, action
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_delete_program
Space: frpc-centralized-panel-mcp
Description: 根据客户端ID删除客户端及其配置文件 注意: 使用这个函数之前一定要得到用户的肯定!丢失的数据无法复原!. Returns: 包含状态和信息的json, 格式为`{"status": "成功"|"失败", "message": "内容"}`
Inputs: program_id
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_get_client_config_by_id
Space: frpc-centralized-panel-mcp
Description: 根据ID获取单个客户端配置 注意这里修改的不是隧道(proxy)和观察者(visitor)的配置信息，client_configs接口仅处理client与server的连接配置。 返回格式(不是全部参数): ```json { "status": "成功", "message": "获取客户端配置成功", "data": { "serverAddr" = "127.0.0.1", "serverPort" = 25566, } } ``` - `status`: 请求状态，成功或失败 - `message`: 请求结果的描述信息 - `data`: 客户端配置 - `serverAddr`: 服务器地址 - `serverPort`: 服务器端. Returns: 包含请求状态、消息和客户端配置的字典
Inputs: program_id
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_new_client_config
Space: frpc-centralized-panel-mcp
Description: 创建指定客户端ID的配置文件 注意这里修改的不是隧道(proxy)和观察者(visitor)的配置信息，client_configs接口仅处理client与server的连接配置。 请求示例(不是全部参数): - program_id = "0" - data = { "serverAddr": "127.0.0.1", "serverPort": 7000, "webServer": {               # webServer不是必要配置，如果用户没说，就不要配置webServer "addr": "127.0.0.1", "port": 7400, "user": "admin", "password": "admin" } } 返回格式: ```json { "status": "成功", "message": "获取客户端配置成功", } ``` - `status`: 请求状态，成功或失败 - `message`: 请求结果的描述信息. Returns: 包含请求状态、消息和客户端配置的字典
Inputs: program_id, data
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_update_client_config
Space: frpc-centralized-panel-mcp
Description: 修改指定客户端ID的配置文件 注意这里修改的不是隧道(proxy)和观察者(visitor)的配置信息，client_configs接口仅处理client与server的连接配置。 请求示例(不是全部参数): - program_id = "0" - data = {"serverAddr": "127.0.0.1", "serverPort": 7000} 返回格式: ```json { "status": "成功", "message": "获取客户端配置成功", } ``` - `status`: 请求状态，成功或失败 - `message`: 请求结果的描述信息. Returns: 包含请求状态、消息和客户端配置的字典
Inputs: program_id, data
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: frpc_centralized_panel_mcp_delete_client_config
Space: frpc-centralized-panel-mcp
Description: 删除指定客户端ID的配置 **注意**：这里修改的不是隧道(proxy)和观察者(visitor)的配置信息，client_configs接口仅处理client与server的连接配置。 **注意**：删除行为会导致数据丢失，一定要用户确认后再删除! 返回格式: ```json { "status": "成功", "message": "获取客户端配置成功", } ``` - `status`: 请求状态，成功或失败 - `message`: 请求结果的描述信息. Returns: 操作结果
Inputs: program_id
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: mcp_brawlstats_save_brawlstars_key
Space: mcp-brawlstats
Description: Store a Brawl Stars API key in server memory for later use. This should be the **first** tool called in a session.  Once the key is saved, subsequent calls to `get_recent_battles` can access the API without requiring the LLM (or user) to resend the long token. Returns: Status message —, • "✅ API key saved in server memory" on success, • "❌ No key provided" if the argument was empty
Inputs: api_key
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: mcp_brawlstats_get_recent_battles
Space: mcp-brawlstats
Description: Retrieve a player's 25 most-recent Brawl Stars battles. Call `save_brawlstars_key` **once** beforehand to cache the API key. Returns: On success –, {, "#TAG",, <int>,            # number of battles returned, <list[dict]>      # raw JSON from Supercell, }, On failure –, "<human-readable message>" }
Inputs: player_tag
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: sec_edgar_mcp_show_available_10k_by_year
Space: sec-edgar-mcp
Description: Before fetching the actual reports, this function checks and returns the available financial report sheets for a list of companies for a given year. Returns: A dictionary mapping company identifiers to their available financial report sheets.
Inputs: lookups, years
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: sec_edgar_mcp_show_available_10k_by_date_range
Space: sec-edgar-mcp
Description: Before fetching the actual reports, this function checks and returns the available financial report sheets for a list of companies for a given date range. Returns: A dictionary mapping company identifiers to their available financial report sheets.
Inputs: lookups, start_date, end_date
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: sec_edgar_mcp_get_company_10k_by_year
Space: sec-edgar-mcp
Description: Fetch year(s) 10-K financial reports for a list of companies and specified sheets. Caveat the sheets names is likely to differ between companies, years, and filings, so it's important to check available sheets first. And batch fetch sheets only if you are sure the sheets names are the same across companies, years, and filings. When applicable, remember to use the report date to align with financial reports from other companies. Returns: A dictionary mapping company identifiers to their financial reports.
Inputs: lookups, years, sheets
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: sec_edgar_mcp_show_available_10q_by_quarters
Space: sec-edgar-mcp
Description: Before fetching the actual reports, this function checks and returns the available financial report sheets for a list of companies for given quarters from 10-Q filings. Caveat the quarter used here is the quarter of when 10-Q is filed to SEC in calendar year system, not the company's fiscal year. Remember to use the report date to align with financial reports from other companies. Returns: A dictionary mapping company identifiers to their available financial report sheets.
Inputs: lookups, quarters
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: sec_edgar_mcp_show_available_10q_by_date_range
Space: sec-edgar-mcp
Description: Before fetching the actual reports, this function checks and returns the available financial report sheets for a list of companies for a given date range from 10-Q filings. Caveat the quarter in the returned dictionary key is the quarter of when 10-Q is filed to SEC in calendar year system, not the company's fiscal year. Remember to use the report date to align with financial reports from other companies. Returns: A dictionary mapping company identifiers to their available financial report sheets.
Inputs: lookups, start_date, end_date
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: sec_edgar_mcp_get_company_10q_by_quarter
Space: sec-edgar-mcp
Description: Fetch financial reports for company(s) within given calendar quarter(s) and specified sheets from 10-Q filings. Caveat the sheets names is likely to differ between companies, quarters, and filings, so it's important to check available sheets first. And batch fetch sheets only if you are sure the sheets names are the same across companies, quarters, and filings. When applicable, remember to use the report date to align with financial reports from other companies. Returns: A dictionary mapping company identifiers to their financial reports.
Inputs: lookups, quarters, sheets
Tags: gradio, mcp-server-track, mcp-server, region:us
Tool: memvid_mcpstore_memory
Space: memvid-mcp
Description: Universal memory storage interface - supports memvid, vector, or dual storage modes.
Inputs: text, client_id, metadata
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpbuild_memory_video
Space: memvid-mcp
Description: Build a memory video from stored chunks using memvid.
Inputs: client_id, memory_name
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpsearch_memory
Space: memvid-mcp
Description: Universal memory search interface with performance comparison in dual mode.
Inputs: query, client_id, memory_name, top_k
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpchat_with_memory
Space: memvid-mcp
Description: Universal chat interface with stored memory context.
Inputs: query, client_id, memory_name
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpget_memory_stats
Space: memvid-mcp
Description: Get aggregated memory statistics with performance comparison in dual mode.
Inputs: client_id
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpdelete_memory
Space: memvid-mcp
Description: Universal memory deletion interface.
Inputs: client_id, memory_name
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpset_storage_mode
Space: memvid-mcp
Description: Set storage mode for runtime configuration.
Inputs: mode, client_id
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpstore_document
Space: memvid-mcp
Description: Store document content in memory chunks.
Inputs: content, doc_type, client_id
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpsave_to_hf_dataset
Space: memvid-mcp
Description: Save all client memory data to a specific HuggingFace dataset.
Inputs: client_id, dataset_name, private
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpload_from_hf_dataset
Space: memvid-mcp
Description: Load client memory data from a specific HuggingFace dataset.
Inputs: client_id, dataset_name
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcplist_hf_datasets
Space: memvid-mcp
Description: List available HuggingFace datasets for the current user. Returns: str: JSON string with available datasets
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpcreate_hf_dataset
Space: memvid-mcp
Description: Create a new HuggingFace dataset for memory storage.
Inputs: dataset_name, private, description
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpget_storage_info
Space: memvid-mcp
Description: Get storage handler information and connection status. Returns: str: JSON string with storage information
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcpbackup_client_data
Space: memvid-mcp
Description: Backup all client data to HuggingFace dataset.
Inputs: client_id
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: memvid_mcprestore_client_data
Space: memvid-mcp
Description: Restore client data from HuggingFace dataset.
Inputs: client_id
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, model-context-protocol, video-memory, semantic-search, ai-agents, memvid, faiss, huggingface, mcp-server, region:us
Tool: pbc_cell_classifier_mcp_main_classification_fn
Space: pbc-cell-classifier-mcp
Description: Main function called by gr.Interface. Expects PIL Image from gr.Image(type="pil") but handles edge cases.
Inputs: image_input_from_gradio
Tags: gradio, mcp-server-track, Agents-MCP-Hackathon, mcp-server, region:us