MCPServerDemo

MCPServerDemo

A demonstration server that implements JSON-RPC 2.0 methods for basic arithmetic using FastAPI. It provides integration examples for the Model Context Protocol (MCP) using FastMCP to connect with Claude Desktop.

Category
访问服务器

README

JSON RPC Server with FastAPI and Python

This project implements a simple JSON-RPC server using FastAPI, Uvicorn, and jsonrpcserver in Python. It exposes add and multiply methods.

Setup

  1. Clone the repository:

    git clone <your-repo-url>
    cd json-rpc-server
    
  2. Create a virtual environment and install dependencies using uv:

    uv venv
    .\.venv\Scripts\activate # On Windows
    # source .venv/bin/activate # On Linux/macOS
    uv pip install fastapi uvicorn jsonrpcserver
    

Running the Server

To start the development server with auto-reloading:

.\.venv\Scripts\activate # On Windows
# source .venv/bin/activate # On Linux/macOS
uv run python -m uvicorn main:app --reload

The server will run at http://127.0.0.1:8000/.

API Endpoints

GET /

A simple test endpoint to confirm the server is running.

Request:

# Using curl (Linux/macOS/Git Bash)
curl http://127.0.0.1:8000/

# Using Invoke-RestMethod (PowerShell)
Invoke-RestMethod -Uri "http://127.0.0.1:8000/" -Method Get

Response:

{
  "message": "FastAPI is running!"
}

POST / (JSON-RPC 2.0)

This is the main JSON-RPC endpoint for add and multiply methods.

Add Method

Request:

# Using curl
curl -X POST -H "Content-Type: application/json" -d '{"jsonrpc": "2.0", "method": "add", "params": [2, 3], "id": 1}' http://127.0.0.1:8000/

# Using Invoke-RestMethod (PowerShell)
Invoke-RestMethod -Uri "http://127.0.0.1:8000/"   -Method Post -Headers @{ "Content-Type" = "application/json" }   -Body '{"jsonrpc":"2.0","method":"add","params":[2,3],"id":1}'

Response (Example):

{"jsonrpc": "2.0", "result": 5, "id": 1}

Multiply Method

Request:

# Using curl
curl -X POST -H "Content-Type: application/json" -d '{"jsonrpc": "2.0", "method": "multiply", "params": [4, 5], "id": 1}' http://127.0.0.1:8000/

# Using Invoke-RestMethod (PowerShell)
Invoke-RestMethod -Uri "http://127.0.0.1:8000/"  -Method Post -Headers @{ "Content-Type" = "application/json" }  -Body '{"jsonrpc":"2.0","method":"multiply","params":[4,5],"id":1}'

Response (Example):

{"jsonrpc": "2.0", "result": 20, "id": 1}

Multipl Methods in a sigal call

curl -X POST -H "Content-Type: application/json" -d '[{"jsonrpc": "2.0", "method": "add", "params": [2, 3], "id": 1},{"jsonrpc": "2.0", "method": "multiply", "params": [2, 30], "id": 2}]' http://127.0.0.1:8000/


Invoke-RestMethod -Uri "http://127.0.0.1:8000/" -Method Post -Headers @{ "Content-Type" = "application/json" }  -Body '[{"jsonrpc":"2.0","method":"add","params":[2,3],"id":1},{"jsonrpc":"2.0","method":"multiply","params":[2,30],"id":2}]'

Install fastmcp

uv add fastmcp

Run MCP inspector

uv run fastmcp dev inspector TestMPCserver.py 

Run MCP server

uv run fastmcp run TestMPCserver.py

Connect to cluade-desktop

uv run fastmcp install claude-desktop TestMPCserver.py

Run MCP server

uv run fastmcp run DataprovidersMCPServer.py

Connect to cluade-desktop

uv run fastmcp install claude-desktop DataprovidersMCPServer.py
uv add langchain langchain-openai langchain-mcp-adapters python-dotenv streamlit logging pandas fastmcp python-dotenv jsonrpcserver uvicorn streamlit langchain-ollama fastapi
 uvicorn serversendevent:app
 uvicorn Streamable:app

VS Code Debugging

A launch.json file is provided in the .vscode directory to enable debugging with VS Code. You can set breakpoints in main.py and run the "Python: FastAPI" configuration.

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