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Wikipedia MCP Server

@1999AZZAR

Repository

Basic information

Category

Other

Transports

stdio

Author

1999AZZAR

About Wikipedia MCP Server

Minimal TypeScript-based HTTP server exposing Wikipedia search and page retrieval via MediaWiki API

#wikipedia#http-server#mediawiki-api

Wikipedia MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Wikipedia MCP Server tools

Tool 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.

Overview

What is Wikipedia MCP Server?

A minimal TypeScript-based HTTP server that exposes Wikipedia search and page retrieval via the MediaWiki API. It features configurable caching, security headers, CORS, rate limiting, and supports REST, GraphQL, and JSON-RPC interfaces.

How to use Wikipedia MCP Server?

Clone the repository, copy .env.example to .env, install dependencies (npm install), build (npm run build), and start the server (npm run start). By default it listens on port 3000. Configure via environment variables in .env. Access the interactive Swagger UI at /docs.

Key features of Wikipedia MCP Server

  • Search articles via GET /search with optional title filtering.
  • Retrieve parsed HTML and sections by page title or page ID.
  • Configurable LRU cache (CACHE_MAX, CACHE_TTL).
  • Rate limiting by IP+endpoint (RATE_LIMIT_WINDOW, RATE_LIMIT_MAX).
  • Health and readiness endpoints (/health, /ready).
  • GraphQL endpoint at /graphql with interactive playground.

Use cases of Wikipedia MCP Server

  • Integrate Wikipedia search and content retrieval into your application.
  • Build a custom frontend that displays parsed Wikipedia articles.
  • Automate fetching of Wikipedia page data for analysis or archiving.
  • Use as a lightweight microservice for AI or chatbot context gathering.

Frequently asked questions

1

What are the runtime requirements?

Node.js v14 or later and npm.

2

How do I configure the server?

Create a `.env` file with variables like `PORT`, `CACHE_MAX`, `CACHE_TTL`, `RATE_LIMIT_WINDOW`, `RATE_LIMIT_MAX`, and `ALLOWED_ORIGINS`. Defaults are provided.

3

What transports can I use?

REST over HTTP, GraphQL (at `/graphql`), and JSON-RPC via stdin/stdout using the included transport classes.

4

Does it support authentication?

No authentication or API keys are mentioned; the server is designed for local or trusted-network use, with optional CORS control.

5

What caching is available?

An LRU cache with configurable max entries (`CACHE_MAX`, default 100) and TTL (`CACHE_TTL`, default 300000 ms) to speed up repeated requests.

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