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A simple MCP Server in Python for working with Wikipedia topic content in a GenAI context

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Wikipedia MCP Server

This is an MCP (Model Control Protocol) server that provides Wikipedia content for the requested topic.

Setup

  1. Install the required dependencies:
pip install -r requirements.txt
  1. Start the server:
python src/server.py

The server will run on http://localhost:5000.

API Usage

Using the API from the CLI

Send a POST request to /mcp with a JSON body containing a topic field:

curl -X POST http://localhost:5000/mcp \
  -H "Content-Type: application/json" \
  -d '{"topic": "Python_(programming_language)"}'

Using the API from Cursor Composer

  1. Ask a question about a topic on Wikipedia
  2. Cursor will display a proposed MCP request and ask for your permission to run the tool
  3. After approving, Cursor will execute the request to the MCP Server
  4. The prompt result will be based on the selected models analysis of the MCP Server response

cursor api example

Response Format

Successful response:

{
  "status": "success",
  "data": {
    "title": "Page Title",
    "content": "Page Content",
    "url": "Wikipedia URL"
  }
}

Error response:

{
  "status": "error",
  "error": "Error message"
}

Testing

Run the test script to verify the server is working:

python src/test_server.py

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A simple MCP Server in Python for working with Wikipedia topic content in a GenAI context

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