Model Context Protocol (MCP) Server
by AdamPippert
The MCP server is a modular server that implements the Model Context Protocol standard. It provides tools for interacting with various services like GitHub, GitLab, Google Maps, and more.
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What is Model Context Protocol (MCP) Server?
The Model Context Protocol (MCP) Server is a modular server that implements the Model Context Protocol standard, providing a unified gateway for accessing various tools and services. It allows users to interact with different platforms like GitHub, GitLab, Google Maps, and perform web automation tasks using Puppeteer, all through a standardized interface.
How to use Model Context Protocol (MCP) Server?
To use the MCP server, you need to install the prerequisites (Python 3.8+, Node.js 14+) and clone the repository. After installing the dependencies and configuring the .env file with necessary API keys and settings, you can start the server using python app.py. Alternatively, you can deploy the server using Docker or Podman with the provided Dockerfile and docker-compose.yml.
Key features of Model Context Protocol (MCP) Server
MCP Gateway: Unified endpoint for all tool requests.
MCP Manifest: Describes available tools and their capabilities.
Direct Tool Access: Tools can be accessed directly via API endpoints.
Modular Design: Easy to add or remove tools as needed.
Use cases of Model Context Protocol (MCP) Server
Automating interactions with GitHub and GitLab repositories.
Geocoding addresses and finding directions using Google Maps.
Storing and retrieving data persistently using the Memory tool.
Taking screenshots and extracting content from websites using Puppeteer.
FAQ from Model Context Protocol (MCP) Server
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
The Model Context Protocol is a standard for interacting with different services and tools through a unified interface.
What tools are included in the MCP server?
What tools are included in the MCP server?
The MCP server includes tools for GitHub, GitLab, Google Maps, Memory storage, and Puppeteer web automation.
How do I add a new tool to the MCP server?
How do I add a new tool to the MCP server?
To add a new tool, create a new file in the tools directory, implement the tool with actions, add the tool to the manifest in app.py, and register the tool's blueprint in tools/__init__.py.
What are the prerequisites for running the MCP server?
What are the prerequisites for running the MCP server?
The prerequisites are Python 3.8 or higher, Node.js 14 or higher, and a Linux/macOS system.
How do I deploy the MCP server using Docker?
How do I deploy the MCP server using Docker?
You can build the Docker image using docker build -t mcp-server . and run the container using docker run -p 5000:5000 --env-file .env mcp-server. Alternatively, you can use docker-compose with the provided docker-compose.yml file.