Useful Model Context Protocol Servers (MCPS)

What is Useful Model Context Protocol Servers (MCPS)?

Useful Model Context Protocol Servers (MCPS) is a collection of standalone Python scripts that implement Model Context Protocol (MCP) servers for various utility functions, enabling AI assistants to extend their capabilities by calling specialized functions.

How to use Useful MCPS?

To use Useful MCPS, clone the repository from GitHub, install the required dependencies, and run the desired MCP server using the uv command with the appropriate directory and script name.

Key features of Useful MCPS?

• Standalone Python scripts for various utility functions.
• Supports multiple MCP servers for different tasks (e.g., YouTube data extraction, Word document processing, PlantUML rendering, Mermaid chart rendering).
• Easy integration with AI assistants and applications that support the MCP protocol.

Use cases of Useful MCPS?

1. Extracting chapters and subtitles from YouTube videos.
2. Processing Word document templates and converting them to PDF.
3. Rendering diagrams using PlantUML and Mermaid.

FAQ from Useful MCPS?

• What is the Model Context Protocol (MCP)?

MCP is a standardized way for AI assistants to interact with external tools and services, allowing them to call specialized functions provided by MCP servers.

• How do I install Useful MCPS?

Clone the repository and install the uv package using pip. Dependencies are managed per-MCP via pyproject.toml.

• Can I add new MCP servers?

Yes! You can create a new directory for your MCP, define its metadata and dependencies, and implement the required logic.