MCP Directory
Back

MediaWiki-MCP-Server

by ProfessionalWiki · TypeScript · ★ 83

View on GitHub ↗

Model Context Protocol (MCP) Server to connect your AI with any MediaWiki

#agents#ai#ai-agent-tools#gemini-cli-extension#llms#mcp#mcp-server#mediawiki#model-context-protocol#model-context-protocol-servers#modelcontextprotocol

Install

npx -y github:ProfessionalWiki/MediaWiki-MCP-Server

Claude Desktop config

Add this to your claude_desktop_config.json: 

{
  "mcpServers": {
    "mediawiki-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "github:ProfessionalWiki/MediaWiki-MCP-Server"
      ]
    }
  }
}

From the README

[](https://www.npmjs.com/package/@professional-wiki/mediawiki-mcp-server) [](./LICENSE) An MCP (Model Context Protocol) server that enables Large Language Model (LLM) clients to interact with any MediaWiki wiki. | Name | Description | Permissions | |---|---|---| | | Add a wiki as an MCP resource from its URL. Disabled when is . | - | | | Diff two versions of a wiki page by revision, title, or supplied wikitext. | - | | | Remove stored OAuth tokens. Stdio only. | - | | | List stored OAuth tokens with scopes and expiry (no token values). Stdio only. | - | | 🔐 | Create a new wiki page. |…
Read full README on GitHub →

💡 Need a managed MCP host?

Try Claude Pro for the smoothest MCP experience, or browse our cloud-hosted servers.

Related ai & ml servers

n8n

n8n-io

★ 186,228

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

AI & ML · TypeScript

ai-engineering-hub

patchy631

★ 34,421

In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

AI & ML · Jupyter Notebook

openfang

RightNow-AI

★ 17,077

Open-source Agent Operating System

AI & ML · Rust

awesome-ai-apps

Arindam200

★ 10,297

A collection of projects showcasing RAG, agents, workflows, and other AI use cases

AI & ML · Python

kreuzberg

kreuzberg-dev

★ 8,159

A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.

AI & ML · Rust

yao

YaoApp

★ 7,538

✨ Build AI agents and web apps — with a single binary.

AI & ML · Go