What dependencies are required?
The server requires `fastapi`, `uvicorn`, `pyngrok`, `requests`, `wikipedia-api`, and `nest_asyncio`.
@Rishavv007
Basic information
A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
It is a FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok. It implements the Model Context Protocol to allow AI assistants to query Wikipedia via an MCP-compatible interface.
Install required dependencies in a Google Colab cell (!pip install fastapi uvicorn pyngrok requests wikipedia-api nest_asyncio), then authenticate Ngrok (!ngrok config add-authtoken <YOUR_TOKEN>) to expose the server.
The server requires `fastapi`, `uvicorn`, `pyngrok`, `requests`, `wikipedia-api`, and `nest_asyncio`.
It runs inside a Google Colab notebook and is exposed to the internet via an Ngrok tunnel.
It uses the Model Context Protocol (MCP) over HTTP, implemented with FastAPI.
The README only documents deployment via Google Colab; no alternative setup is described.

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