semvec/pypi-packages huggingface dataset:
billingplatform 0.3.0
A community driven Python library for working with BillingPlatform APIs.
Requires Python: >=3.11
Keywords: billingplatform, rest api, billing, revenue management

# billingplatform-py

Welcome! This is a community-driven Python library for interacting with BillingPlatform APIs! This project aims to provide a comprehensive and easy-to-use interface for developers working with BillingPlatform.

## Installation

You can install the library using pip:

```bash
pip install billingplatform
```

## Usage

While still under active development towards version 1.0, you can start using the library for its current functionality. Here's a basic example:

```python
from billingplatform import BillingPlatform

# Initialize the API client (creates the session)
# Just in case it has to be said, don't hardcode your credentials in production code ;-)
bp = BillingPlatform(base_url="https://sandbox.billingplatform.com/myorg", username="myuser", password="mypassword")

# Fetch a list of accounts
try:
    response: dict = bp.query(sql="SELECT Id, Name, Status FROM ACCOUNT WHERE 1=1")
    accounts: list[dict] = response.get("queryResponse", []) # Strip out data from response

    for account in accounts:
        print(account)
except Exception as e:
    print(f"An error occurred: {e}")
```

Please note: The available methods and their functionalities are still being expanded. Refer to the [documentation](docs/README.md), source code, or tests for the most up-to-date usage examples.

## Contributions

This is a community-driven project, and we welcome contributions! Whether you're fixing a bug, adding a new feature, improving documentation, or suggesting enhancements, your input is valuable.

If you encounter any issues or have suggestions, please don't hesitate to open an issue on our GitHub Issues page and fork the repository and create a pull request.

We're excited to have you as part of our community as we work towards a robust and complete version 1.0
ragflow-mcp-server-v0-3-0 0.3.1
RAGFlow MCP Server V0.3.0- A Model Context Protocol server integrating with RAGFlow APIs
Requires Python: >=3.10

# ragflow-mcp-server-v0.3.0 MCP server

RAGFlow MCP Server V0.3.0

## Components

### Resources

The server implements a simple note storage system with:
- Custom note:// URI scheme for accessing individual notes
- Each note resource has a name, description and text/plain mimetype

### Prompts

The server provides a single prompt:
- summarize-notes: Creates summaries of all stored notes
  - Optional "style" argument to control detail level (brief/detailed)
  - Generates prompt combining all current notes with style preference

### Tools

The server implements one tool:
- add-note: Adds a new note to the server
  - Takes "name" and "content" as required string arguments
  - Updates server state and notifies clients of resource changes

## Configuration

[TODO: Add configuration details specific to your implementation]

## Quickstart

### Install

#### Claude Desktop

On MacOS: `~/Library/Application\ Support/Claude/claude_desktop_config.json`
On Windows: `%APPDATA%/Claude/claude_desktop_config.json`

<details>
  <summary>Development/Unpublished Servers Configuration</summary>
  ```
  "mcpServers": {
    "ragflow-mcp-server-v0.3.0": {
      "command": "uv",
      "args": [
        "--directory",
        "D:\AIGC\Projects\ragflow-mcp-server-v0.3.0",
        "run",
        "ragflow-mcp-server-v0.3.0"
      ]
    }
  }
  ```
</details>

<details>
  <summary>Published Servers Configuration</summary>
  ```
  "mcpServers": {
    "ragflow-mcp-server-v0.3.0": {
      "command": "uvx",
      "args": [
        "ragflow-mcp-server-v0.3.0"
      ]
    }
  }
  ```
</details>

## Development

### Building and Publishing

To prepare the package for distribution:

1. Sync dependencies and update lockfile:
```bash
uv sync
```

2. Build package distributions:
```bash
uv build
```

This will create source and wheel distributions in the `dist/` directory.

3. Publish to PyPI:
```bash
uv publish
```

Note: You'll need to set PyPI credentials via environment variables or command flags:
- Token: `--token` or `UV_PUBLISH_TOKEN`
- Or username/password: `--username`/`UV_PUBLISH_USERNAME` and `--password`/`UV_PUBLISH_PASSWORD`

### Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging
experience, we strongly recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector).


You can launch the MCP Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm) with this command:

```bash
npx @modelcontextprotocol/inspector uv --directory D:\AIGC\Projects\ragflow-mcp-server-v0.3.0 run ragflow-mcp-server-v0-3-0
```


Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.