Professionalwiki's Mediawiki MCP Server is an MCP server built with Go, enabling Large Language Model clients to interact with any MediaWiki wiki. It serves as a modern standard for AI applications, integrating external data sources and tools, specifically for content management systems. The server supports various transport protocols including stdio, http, and SSE. It is designed for AI engineers, developers, and organizations using MediaWiki for knowledge management, allowing AI assistants to manage and retrieve wiki content.

What does Mediawiki MCP Server connect to?

The Mediawiki MCP Server connects directly to any MediaWiki wiki. It functions as an MCP server, which is a contemporary standard for AI applications to integrate with external data sources and tools. This design specifically supports content management systems such as wikis. Its primary purpose is to bridge the gap between AI clients and MediaWiki content, allowing for dynamic interaction and data exchange.

Core features and tools

The server exposes a set of callable tools for interacting with MediaWiki. These include page reads like get-page and get-recent-changes, and page writes such as create-page and edit-page. It also supports identity management with get-identity. For structured data, it offers tools like smw-query and cargo-query, compatible with NeoWiki, Semantic MediaWiki, and Cargo. Wiki management tools like add-wiki and remove-wiki are available if enabled.

Who is it for?

Mediawiki MCP Server is for AI engineers, developers, organizations utilizing MediaWiki for knowledge management, and users of AI assistants. It allows AI agents to manage and retrieve information from wikis, supporting automated documentation and intelligent knowledge management. It helps transform a wiki into an active data source for AI applications. Skip this if your environment does not use MediaWiki or requires static username/password authentication without explicit allowance.

How to get started

Access is granted through a standard OAuth authorization flow, with browser-based OAuth being the recommended method. The default transport protocol is stdio, but http and SSE are also supported.

Use cases

• Automated Documentation Assistant: AI agents fetch, analyze, and update wiki content, supporting intelligent knowledge management, like creating vendor pages from a spreadsheet.
• Enterprise Q&A Bot: LLM chatbots create, edit, or summarize wiki pages based on prompts, turning the wiki into an active AI data source.
• AI-Powered Research Analyst: AI can search the wiki, read pages, identify broken links, find stale content, and suggest cross-links.

The Mediawiki MCP Server by Professionalwiki provides a crucial link between LLM clients and MediaWiki installations. Built with Go, it offers extensive tools for reading, writing, and managing wiki content, including structured data. Its support for OAuth 2.0 ensures secure integration with existing MediaWiki environments. This server is a valuable asset for organizations aiming to automate wiki interactions with AI. Try connecting an AI agent to create new vendor pages from a spreadsheet using a wiki template.