Wikipedia MCP Server 📚

Surgical, token-efficient Wikipedia knowledge retrieval MCP server for AI agents with deterministic summary, search, and full-article projection.

🌐 Live Documentation & Web Portal: https://wikipedia.builditwithai.xyz

---

⚡ Quickstart

# 1-Line Universal Installer (Auto-configures Claude Desktop, Cursor, Claude Code, Antigravity, VS Code, Zed, Windsurf)
curl -fsSL "https://wikipedia.builditwithai.xyz/install" | bash

# Or run directly via your preferred runtime:
uvx mcp-server-wikipedia
npx -y mcp-server-wikipedia

---

---

🤖 Client Setup

A. Claude Code (CLI)

claude mcp add wikipedia -- uvx mcp-server-wikipedia

B. Cursor & Google Antigravity (mcp.json)

{
  "mcpServers": {
    "wikipedia": {
      "command": "uvx",
      "args": ["mcp-server-wikipedia"]
    }
  }
}

C. Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "wikipedia": {
      "command": "uvx",
      "args": ["mcp-server-wikipedia"]
    }
  }
}

D. VS Code (Cline / Roo Code / Continue)

{
  "mcpServers": {
    "wikipedia": {
      "command": "npx",
      "args": ["-y", "mcp-server-wikipedia"]
    }
  }
}

---

🛠️ Tools & Capabilities

Tool Name	Parameters	Description	Return Type
get_summary	title (string), lang (optional)	Fetches concise, factual lead summary of any Wikipedia page.	string
get_article	title (string), lang (optional)	Fetches complete article body formatted in clean, structured Markdown.	string
search	query (string), limit (int), lang (optional)	Searches Wikipedia articles with autocomplete and relevance ranking.	JSON
get_section	title (string), section_title (string), lang (optional)	Retrieves a specific section by header name, saving context window space.	string
get_links	title (string), lang (optional)	Extracts outgoing cross-reference links from an article.	JSON
get_categories	title (string), lang (optional)	Lists taxonomic categories and classifications for a page.	JSON
skill_read	skill_name (string)	Dynamically loads research playbooks from GitHub.	Markdown
skills_list	(none)	Lists all available Wikipedia research skills.	JSON

---

🔒 Telemetry & Privacy

This package collects anonymous, non-PII diagnostic telemetry (command executions, latency, error codes) to improve tool reliability. No article search terms, personal data, source code, or environment variables are ever collected or stored.

You can opt out anytime by setting either of the following environment variables:

export DO_NOT_TRACK=1
# or
export MCP_TELEMETRY_OPT_OUT=1

---

📄 License

MIT License. See LICENSE for details.