Model Context Protocol (MCP) Server
an MCP server for the services I like to use with AI agents, which you should probably fork and modify for your own use. No PRs accepted, this is just for me. Not private because you or a bot might get something out of what you see here.
What is Model Context Protocol (MCP) Server?
What is the Model Context Protocol (MCP) Server? The MCP Server is a modular server that implements the Model Context Protocol standard, providing tools for various services like GitHub, GitLab, Google Maps, Memory storage, and Puppeteer web automation. How to use the MCP Server? To use the MCP Server, clone the repository, install the necessary dependencies, configure your environment variables, and start the server. You can access the tools via the MCP Gateway or directly through their API endpoints. Key features of the MCP Server? MCP Gateway: A unified endpoint for all tool requests following the MCP standard. MCP Manifest: An endpoint that describes all available tools and their capabilities. Direct Tool Access: Each tool can be accessed directly via its own API endpoints. Modular Design: Easy to add or remove tools as needed. Use cases of the MCP Server? Automating interactions with GitHub and GitLab repositories. Performing geocoding and directions using Google Maps. Storing and retrieving data persistently with the Memory tool. Web automation tasks like taking screenshots and generating PDFs using Puppeteer. FAQ from the MCP Server? Can I add my own tools to the MCP Server? Yes! You can extend the MCP Server by adding new tools following the provided guidelines. Is the MCP Server free to use? Yes! The MCP Server is open-source and free to use. What are the prerequisites for running the MCP Server? You need Python 3.8 or higher, Node.js 14 or higher, and a compatible Linux distribution.
As an MCP (Model Context Protocol) server, Model Context Protocol (MCP) Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Model Context Protocol (MCP) Server
To use the MCP Server, clone the repository, install the necessary dependencies, configure your environment variables, and start the server. You can access the tools via the MCP Gateway or directly through their API endpoints. Key features of the MCP Server? MCP Gateway: A unified endpoint for all tool requests following the MCP standard. MCP Manifest: An endpoint that describes all available tools and their capabilities. Direct Tool Access: Each tool can be accessed directly via its own API endpoints. Modular Design: Easy to add or remove tools as needed. Use cases of the MCP Server? Automating interactions with GitHub and GitLab repositories. Performing geocoding and directions using Google Maps. Storing and retrieving data persistently with the Memory tool. Web automation tasks like taking screenshots and generating PDFs using Puppeteer. FAQ from the MCP Server? Can I add my own tools to the MCP Server? Yes! You can extend the MCP Server by adding new tools following the provided guidelines. Is the MCP Server free to use? Yes! The MCP Server is open-source and free to use. What are the prerequisites for running the MCP Server? You need Python 3.8 or higher, Node.js 14 or higher, and a compatible Linux distribution.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Model Context Protocol (MCP) Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Model Context Protocol (MCP) Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.