search-web

Wikipedia

by timjuenemann

Use Wikipedia Search for accurate, up-to-date info. Lookup Wikipedia articles easily with a structured interface and no

Provides a structured interface for searching and retrieving Wikipedia articles in clean Markdown format, enabling access to up-to-date encyclopedia information without hallucinating facts.

github stars

14

No API key neededPrevents AI hallucination with real dataClean Markdown output

best for

  • / Researchers needing factual information
  • / AI assistants requiring accurate reference material
  • / Content creators fact-checking information

capabilities

  • / Search Wikipedia articles by keywords
  • / Retrieve complete Wikipedia articles by title or page ID
  • / Convert Wikipedia content to clean Markdown format
  • / Access up-to-date encyclopedia information

what it does

Searches Wikipedia and retrieves full articles in clean Markdown format, giving AI assistants access to accurate encyclopedia information without hallucination.

about

Wikipedia is a community-built MCP server published by timjuenemann that provides AI assistants with tools and capabilities via the Model Context Protocol. Use Wikipedia Search for accurate, up-to-date info. Lookup Wikipedia articles easily with a structured interface and no It is categorized under search web. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Wikipedia in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.

license

MIT

Wikipedia is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

README content is unavailable from source data for this server.

Open GitHub repository

FAQ

What is the Wikipedia MCP server?
Wikipedia is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Wikipedia?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    Wikipedia is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated Wikipedia against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Wikipedia is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    Wikipedia reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend Wikipedia for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: Wikipedia surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    Wikipedia has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, Wikipedia benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired Wikipedia into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    Wikipedia is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.