Overview
What is MCP Server?
MCP Server implements the Model Context Protocol (MCP), enabling large language models (LLMs) to interact with external tools and services through a standardized interface.
How to use MCP Server?
Clone the repository, create and activate a Python virtual environment (Python 3.8+), install dependencies with pip install -r requirements.txt, then run python main.py. The server starts at http://localhost:8000. Use its RESTful API endpoints: a GET at / for server info and tool list, or a POST at /execute to invoke tools with JSON parameters.
Key features of MCP Server
- Supports multiple tools: calculator, weather, search
- RESTful API built with FastAPI
- Data validation with Pydantic
- Efficient asynchronous processing
- Automatic API documentation via Swagger UI at
/docs
Use cases of MCP Server
- Allow an LLM to perform real-time calculations
- Fetch current weather data for a location
- Execute web searches through an LLM interface
- Extend the server with custom tools for new integrations
FAQ from MCP Server
What is MCP Server?
MCP Server is a server that implements the Model Context Protocol, providing a standardized way for LLMs to use external tools and services.
What are the system requirements?
Python 3.8 or above and the pip package manager.
How do I run the server?
After installing dependencies, run python main.py. The server will be available at http://localhost:8000.
How can I add a new tool?
Add the tool’s name and description to the SUPPORTED_TOOLS dictionary, then add a handler function in process_tool_request and create a dedicated function for the new tool.
Where can I view the API documentation?
Access http://localhost:8000/docs to see the auto-generated Swagger UI documentation.
