Six tools for working with Wikipedia across all language editions:

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
• Supports all Wikipedia language editions via the language parameter

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" — a signal to follow up with wikipedia_search using a more specific query
• Redirect pages followed automatically
• Right tool for 90% of encyclopedic lookups

Fetch article content as clean plain text.

• Without section_index: returns the full article (40–100 KB for major articles) with == Section == markers
• With section_index (from wikipedia_get_sections): returns just that section (1–10 KB)
• Section path uses wikitext stripping via wtf_wikipedia

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

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

List language editions available for a Wikipedia article.

• Returns language codes, article titles in each language, and full URLs
• Use for cross-language research or to discover a non-English title before switching editions

Built on @cyanheads/mcp-ts-core:

• Declarative tool definitions — single file per tool, framework handles registration and validation
• Unified error handling — 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 — 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
• Wikitext stripping pipeline via wtf_wikipedia — handles links, templates, refs, bold/italic; re-injects section headings for structure
• Per-call language parameter on every tool — all Wikipedia language editions accessible in a single session
• Language validation against ~250 known Wikipedia edition codes — catches structurally valid but nonexistent editions before they cause timeouts

Agent-friendly output:

• page_type field on summaries discriminates article / disambiguation / redirect — 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 — callers get actionable next steps (e.g., "use wikipedia_search to find the correct title")

Add the following to your MCP client configuration file.

{
  "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):

{
  "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:

{
  "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:

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

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

1. Clone the repository:

git clone https://github.com/cyanheads/wikipedia-mcp-server.git

2. Navigate into the directory:

cd wikipedia-mcp-server

3. Install dependencies:

bun install

4. Configure environment (optional):

cp .env.example .env
# edit .env if you want to customize WIKIPEDIA_USER_AGENT or logging

See .env.example for the full list of optional overrides.

• Build and run:

  # One-time build
  bun run rebuild
  
  # Run the built server
  bun run start:stdio
  # or
  bun run start:http

• Run checks and tests:

  bun run devcheck   # Lint, format, typecheck, security
  bun run test       # Vitest test suite
  bun run lint:mcp   # Validate MCP definitions against spec

docker build -t wikipedia-mcp-server .
docker run --rm -p 3010:3010 wikipedia-mcp-server

The Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/wikipedia-mcp-server. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.

See CLAUDE.md for development guidelines and architectural rules. The short version:

• Handlers throw, framework catches — no try/catch in tool logic
• Use ctx.log for request-scoped logging, ctx.state for tenant-scoped storage
• Register new tools in src/mcp-server/tools/definitions/index.ts
• Wrap external API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields

Issues and pull requests are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

Apache-2.0 — see LICENSE for details.