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Wikipedia MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 7:22:41 PM

Wikipedia MCP Server

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository2 GitHub StarsTotal stargazers on GitHub for the source repository (2 stars).Visit Website

Search Wikipedia, read summaries and full text, target sections, find nearby pages, list languages.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "wikipedia-mcp-server": {
      "command": "bunx",
      "args": [
        "@cyanheads/wikipedia-mcp-server@latest"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

@cyanheads/wikipedia-mcp-server

Search Wikipedia articles, read summaries and full text, target sections, find nearby pages, and list language editions via MCP. STDIO or Streamable HTTP.

6 Tools

Version License Docker MCP SDK npm TypeScript Bun

Install in Claude Desktop Install in Cursor Install in VS Code

Framework


Tools

Six tools for working with Wikipedia across all language editions:

ToolDescription
wikipedia_searchFull-text search across Wikipedia, returning ranked results with plain-text snippets and page IDs.
wikipedia_get_summaryLead-section summary for any article β€” plain text, Wikidata QID, description, thumbnail URL, and page type.
wikipedia_get_articleFull article or a targeted section as clean plain text, with section markers preserved.
wikipedia_get_sectionsTable of contents with section_index values for targeted section reads.
wikipedia_search_nearbyGeotagged Wikipedia articles within a radius of a WGS 84 coordinate, sorted by distance.
wikipedia_get_languagesAll language editions available for an article, with titles and URLs.

wikipedia_search

Search Wikipedia articles by full-text query.

  • Returns ranked results with plain-text snippets (HTML stripped), page IDs, and word counts
  • Use when the exact article title is unknown or to discover multiple articles on a topic
  • Page beyond the first result page with offset; the enrichment nextOffset signals more results remain (pass it back as offset)
  • Supports all Wikipedia language editions via the language parameter

wikipedia_get_summary

Fetch the lead-section summary for a Wikipedia article.

  • Returns the 2–4 paragraph intro, Wikidata QID for cross-referencing, short description, and thumbnail URL
  • Surfaces page_type: "disambiguation" β€” a signal to follow up with wikipedia_search using a more specific query
  • Redirect pages followed automatically
  • Right tool for 90% of encyclopedic lookups

wikipedia_get_article

Fetch article content as clean plain text.

  • Without section_index: returns the full article with == Section == markers β€” unless it exceeds WIKIPEDIA_ARTICLE_OVERFLOW_BYTES (default 80 KB), in which case it returns a compact section outline (truncated: true) pointing to wikipedia_get_sections plus a section_index read
  • With section_index (from wikipedia_get_sections): returns that section together with every subsection nested under it, each heading above its own body
  • Data tables and figures are omitted from both paths, so a section whose body is entirely a data table returns its heading and little else. Tables used only for layout β€” multi-column lists, succession boxes β€” keep their content
  • Page furniture is omitted too: maintenance banners, sister-project and library-resource boxes, portal bars, and spoken-article notices. Hatnotes are kept β€” they name the article to read next
  • Redirect pages followed automatically

wikipedia_get_sections

Fetch the table of contents for a Wikipedia article.

  • Returns section titles, heading levels, section numbering (e.g. "2.1"), and section_index values
  • section_index is the integer to pass to wikipedia_get_article for targeted reads
  • Call this before wikipedia_get_article when only a specific section is needed
  • Redirect pages followed automatically

wikipedia_search_nearby

Find Wikipedia articles about places near a geographic coordinate.

  • Results sorted ascending by distance in meters
  • Only articles with geographic coordinates in their Wikidata record are returned
  • Radius capped at 10,000 meters; up to 50 results per call

wikipedia_get_languages

List language editions available for a Wikipedia article.

  • Returns each edition's language code, tool-usable subdomain code (edition_code), article title, and URL
  • Pass edition_code as the language parameter on other tools β€” it can differ from language_code (e.g. gsw vs als)
  • Use for cross-language research or to discover a non-English title before switching editions

Features

Built on @cyanheads/mcp-ts-core:

  • Declarative tool definitions β€” single file per tool, framework handles registration and validation
  • Unified error handling β€” handlers throw, framework catches, classifies, and formats
  • Pluggable auth: none, jwt, oauth
  • Swappable storage backends: in-memory, filesystem, Supabase, Cloudflare KV/R2/D1
  • Structured logging with optional OpenTelemetry tracing
  • STDIO and Streamable HTTP transports

Wikipedia-specific:

  • Dual API integration β€” MediaWiki REST API (/api/rest_v1/) for summaries, Action API (/w/api.php) for search, full text, sections, geo search, and language links
  • Retry and backoff on all requests; User-Agent header per Wikimedia API policy
  • Both read paths render to the same plain-text shape β€” == Heading == markers, one list item per line β€” the full article from Action API extracts, a section from the parser's own HTML for that section. A section read additionally keeps code-sample indentation and the lists inside layout tables, neither of which the extract carries
  • Per-call language parameter on every tool β€” all Wikipedia language editions accessible in a single session
  • Language validation against a live edition registry built from the MediaWiki action=sitematrix endpoint (cached 24h) β€” catches structurally valid but nonexistent editions before they cause timeouts

Agent-friendly output:

  • page_type field on summaries discriminates article / disambiguation / redirect β€” no string parsing needed
  • wikibase_item (Wikidata QID) on summaries enables direct cross-referencing with wikidata-mcp-server
  • section_index on table-of-contents entries links directly to the targeted-read parameter on wikipedia_get_article
  • Recovery hints on every error type β€” callers get actionable next steps (e.g., "use wikipedia_search to find the correct title")

Getting started

Add the following to your MCP client configuration file.

config.json
{
  "mcpServers": {
    "wikipedia-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/wikipedia-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with npx (no Bun required):

config.json
{
  "mcpServers": {
    "wikipedia-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/wikipedia-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with Docker:

config.json
{
  "mcpServers": {
    "wikipedia-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "MCP_TRANSPORT_TYPE=stdio",
        "ghcr.io/cyanheads/wikipedia-mcp-server:latest"
      ]
    }
  }
}

For Streamable HTTP, set the transport and start the server:

sh
MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp

Prerequisites

  • Bun v1.3.0 or higher (or Node.js v24+).
  • No API keys required β€” Wikipedia's API is public.

Installation

  1. Clone the repository:
sh
git clone https://github.com/cyanheads/wikipedia-mcp-server.git
  1. Navigate into the directory:
sh
cd wikipedia-mcp-server
  1. Install dependencies:
sh
bun install
  1. Configure environment (optional):
sh
cp .env.example .env
# edit .env if you want to customize WIKIPEDIA_USER_AGENT or logging

Configuration

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Wikipedia MCP Server

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "wikipedia-mcp-server": { "command": "npx", "args": ["-y", "wikipedia-mcp-server"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars2
GitHub Star CountTotal stargazers on GitHub representing community popularity (2 stars).
37Quality signal: Fair Β· 37/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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