Userful Mcps
U

Userful Mcps

A set of Python tool servers implementing the MCP protocol, providing function extensions such as YouTube data processing, Word document processing, and chart rendering for AI assistants.
2.5 points
5.7K

What is an MCP server?

An MCP server consists of a set of independently running Python scripts that provide specific functions through the standardized Model Context Protocol (MCP). These tools can be invoked by AI assistants or other MCP - supported applications to enhance their functionality.

How to use an MCP server?

You can start an MCP server by configuring the client application. Each server has its own installation and configuration method, depending on its function.

Applicable scenarios

MCP servers are suitable for scenarios that require handling complex tasks, such as video information extraction, document processing, and chart generation.

Main Features

YouTube Data Extractor
Extract chapter information and subtitles from YouTube videos.
Word Document Processor
Process Word document templates, including replacing placeholders and managing content blocks.
PlantUML Renderer
Convert PlantUML code into image files.
Mermaid Renderer
Convert Mermaid code into image files.
RSS to Markdown
Convert RSS feed content into Markdown format.
Advantages
Diverse functions covering multiple application scenarios
Easy to integrate into existing systems
Standardized interfaces for easy expansion
Limitations
Some functions may require additional dependencies (e.g., API keys)
Initial setup requires a certain technical background

How to Use

Install the environment
Make sure Python and the uv tool are installed.
Clone the repository
Get the code for the MCP server.
Run the server
Use the uv tool to start a specific MCP server.

Usage Examples

Extract YouTube video chapters
Extract chapter information from a specified YouTube video.
Process Word document templates
Replace placeholders in the template and generate a new document.

Frequently Asked Questions

How to install an MCP server?
Do I need an API key?
How to test an MCP server?

Related Resources

GitHub Repository
The official code repository for the MCP server.
Documentation
Detailed documentation on using the MCP server.

Installation

Copy the following command to your Client for configuration
"mcpServers": {
  "ytdlp": {
    "name": "youtube", // Optional friendly name for the client
    "command": "uv",
    "args": [
      "run",
      "--directory", "<path/to/repo>/useful-mcps/ytdlp", // Path to the MCP directory containing pyproject.toml
      "--", // Separator before script arguments, if any
      "ytdlp_mcp" // Match the script name defined in pyproject.toml [project.scripts]
    ]
    // 'cwd' is not needed when using --directory
  }
}

"mcpServers": {
  "docx_replace": {
    "name": "docx", // Optional friendly name
    "command": "uv",
    "args": [
      "run",
      "--directory", "<path/to/repo>/useful-mcps/docx_replace", // Path to the MCP directory
      "--",
      "docx_replace_mcp" // Match the script name defined in pyproject.toml
    ]
  }
}

"mcpServers": {
  "plantuml": {
    "name": "plantuml", // Optional friendly name
    "command": "uv",
    "args": [
      "run",
      "--directory", "<path/to/repo>/useful-mcps/plantuml", // Path to the MCP directory
      "--",
      "plantuml_server" // Match the script name defined in pyproject.toml
    ]
  }
}

"mcpServers": {
  "mermaid": {
    "name": "mermaid", // Optional friendly name
    "command": "uv",
    "args": [
      "run",
      "--directory", "<path/to/repo>/useful-mcps/mermaid", // Path to the MCP directory
      "--",
      "mermaid_mcp" // Match the script name defined in pyproject.toml
    ],
    "env": { // Environment variables needed by the MCP
        "MERMAID_CHART_ACCESS_TOKEN": "YOUR_API_TOKEN_HERE"
    }
  }
}

"mcpServers": {
  "mermaid": {
    "name": "rss2md", // Optional friendly name
    "command": "uv",
    "args": [
      "run",
      "--directory", "<path/to/repo>/useful-mcps/rss2md", // Path to the MCP directory
      "--",
      "rss2md_mcp" // Match the script name defined in pyproject.toml
    ],
    "env": { // Environment variables needed by the MCP
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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