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MCP Server Fastapi
An MCP server project based on FastAPI, providing functions for dependency installation, service startup, and local debugging.
rating : 2 points
downloads : 18
What is the MCP Server?
The MCP Server is a high-performance server based on FastAPI, specifically designed for Model Context Protocol (MCP) tools. It provides a standardized way to develop, test, and deploy AI model tools.How to use the MCP Server?
You can start the server through a simple command-line interface and use the MCP Inspector tool for local testing and debugging.Use Cases
It is suitable for scenarios where AI developers need to quickly test and iterate model tools, especially useful when developing tools such as weather forecasting and text analysis.Main Features
Fast StartStart the server with a single command using uv or Python
Local DebuggingIntegrated with the MCP Inspector tool for convenient local testing and debugging
High PerformanceBuilt on FastAPI, providing fast response capabilities
Advantages and Limitations
Advantages
Simple and easy-to-use command-line interface
Seamless integration with the MCP ecosystem
Supports fast development and testing cycles
Limitations
Requires a Python 3.12+ environment
Has a certain learning curve for new developers
How to Use
Install Dependencies
Use the uv tool to install project dependencies
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Start the Server
Choose either Python or uv to start the server
Test the Tool
Use the MCP Inspector to test your tool
Usage Examples
Develop a Weather Forecasting ToolCreate an AI tool that can forecast the weather
Quickly Start the ServerStart the MCP server in different ways
Frequently Asked Questions
Why do I need to install uv?
How do I know if my tool is compatible with MCP?
Which Python versions are supported?
Related Resources
uv Documentation
Official documentation for the uv package manager
MCP Tool PyPI Page
PyPI page for the MCP command-line tool
FastAPI Official Website
Official documentation for the FastAPI framework
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