Wikipedia MCP Server

The Wikipedia MCP Server bridges the gap between AI assistants and the vast knowledge base of Wikipedia. By exposing a set of well‑defined tools over the Model Context Protocol, it lets assistants retrieve up‑to‑date facts, historical anecdotes, and visual media without leaving the conversational context. This eliminates the need for developers to write custom API wrappers or manage authentication, enabling rapid integration of encyclopedic content into any MCP‑compatible workflow.

At its core, the server offers four intuitive tools. onThisDay delivers a curated list of historical events for any specified date, making it ideal for time‑based queries or educational prompts. findPage performs a search across Wikipedia, returning page titles that match a user’s query, which is useful for exploratory conversations. getPage fetches the full content of a page by title, allowing assistants to provide detailed explanations or summaries. Finally, getImagesForPage retrieves image URLs associated with a page, enabling visual enrichment of responses. Each tool is designed to be lightweight and stateless, ensuring that the server can scale horizontally without complex state management.

Developers benefit from a clear separation of concerns: the MCP server handles all HTTP requests, caching, and rate limiting internally, while the assistant focuses solely on intent recognition and response formatting. Because the server communicates over stdio, it can be launched as a simple child process or embedded in larger Node.js applications. Integration with existing MCP configurations is straightforward—just add a command entry pointing to the server’s executable, and the assistant will automatically discover the available tools.

Real‑world scenarios that leverage this server include educational chatbots that provide historical context, virtual tour guides that pull up landmark information on demand, and content‑creation assistants that fetch accurate citations or images for articles. The ability to retrieve up‑to‑date Wikipedia data on the fly also supports compliance workflows where current facts are critical, such as legal or medical assistants.

What sets the Wikipedia MCP Server apart is its focus on a single, high‑value knowledge source while keeping the API surface minimal and well‑documented. Its open‑source nature encourages community contributions, such as adding new tool variants or improving caching strategies. In sum, this server empowers developers to enrich AI conversations with authoritative Wikipedia content effortlessly, turning a complex external API into a simple, declarative tool within the MCP ecosystem.