MCP 学习项目⚡
@uoky5217
About MCP 学习项目⚡
个人学习MCP
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Mcp-Server-Study": {
"command": "python",
"args": [
"main.py"
]
}
}
}Tools
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Overview
What is MCP 学习项目⚡?
MCP 学习项目⚡ is a learning project based on the Model Context Protocol (MCP) that demonstrates how to implement an MCP Server. It includes a FastAPI-based API server simulating a Java backend with basic arithmetic operations (addition, subtraction, multiplication, division), and two MCP server implementations — one using the stdio transport and another using the SSE (Server-Sent Events) transport. The project is intended for developers who want to learn MCP server development and testing.
How to use MCP 学习项目⚡?
To use the stdio mode, first run python main.py in the api_server directory to start the API service, then configure the MCP server in Cline with the provided stdio transport configuration. For SSE mode, after starting the API service, run python remote_server.py in the mcp_server directory to start the MCP server, then configure Cline with the SSE transport URL (http://127.0.0.1:8001/sse). In both cases, test the MCP server inside the Cline plugin.
Key features of MCP 学习项目⚡
- Arithmetic toolset: add, subtract, multiply, divide
- SSE-based real‑time message transport
- Async HTTP client (HTTPX) support
- Strong type input validation
- Two transport implementations: stdio and SSE
Use cases of MCP 学习项目⚡
- Learning how to build and configure an MCP Server
- Practicing MCP integration with the Cline plugin
- Understanding the difference between stdio and SSE transports
- Writing and running pytest unit tests for API endpoints
FAQ from MCP 学习项目⚡
What transport modes does MCP 学习项目⚡ support?
It supports two transport modes: stdio (local invocation via command line) and SSE (remote server using Uvicorn on port 8001).
What are the runtime dependencies?
Python 3.10+, the uv package manager, and dependencies listed in requirements.txt: Starlette (framework), Uvicorn (server), HTTPX (HTTP client), and the MCP Server‑Sent Transports library.
Where does the data live?
Data is simulated locally by the FastAPI API server; no external database is used. The API server runs on port 8000 and handles arithmetic requests.
Are there any limitations?
The project currently implements only basic arithmetic operations (add, subtract, multiply, divide). It is a learning project, not intended for production use.
How is authentication handled?
The README does not mention any authentication mechanisms for the MCP or API servers.
Frequently asked questions
What transport modes does MCP 学习项目⚡ support?
It supports two transport modes: stdio (local invocation via command line) and SSE (remote server using Uvicorn on port 8001).
What are the runtime dependencies?
Python 3.10+, the uv package manager, and dependencies listed in `requirements.txt`: Starlette (framework), Uvicorn (server), HTTPX (HTTP client), and the MCP Server‑Sent Transports library.
Where does the data live?
Data is simulated locally by the FastAPI API server; no external database is used. The API server runs on port 8000 and handles arithmetic requests.
Are there any limitations?
The project currently implements only basic arithmetic operations (add, subtract, multiply, divide). It is a learning project, not intended for production use.
How is authentication handled?
The README does not mention any authentication mechanisms for the MCP or API servers.
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