About
A Model Context Protocol server that lets large language model clients create, read, update, and search MediaWiki pages using OAuth 2.0 authentication.
Capabilities
The MediaWiki MCP Server bridges large language models with the rich ecosystem of MediaWiki-powered wikis. By exposing a set of well‑defined tools over the Model Context Protocol, it allows AI assistants to read, search, and modify wiki content as if they were native users. This solves the long‑standing problem of integrating knowledge bases that live on MediaWiki into conversational agents: developers no longer need to write custom API wrappers or handle OAuth flows manually.
At its core, the server offers a handful of intuitive operations. and let the assistant retrieve page text or locate relevant articles, enabling tasks such as summarization, fact‑checking, or content recommendation. and (both OAuth‑protected) allow the model to author or edit content directly, opening possibilities for collaborative editing, automated documentation updates, or dynamic FAQ generation. supplies revision metadata, which can be used for audit trails or to surface the most recent changes. The tool gives users control over which wiki instance the session targets, supporting multi‑tenant setups or cross‑project workflows.
Developers find this server especially valuable when building AI assistants that need to stay current with evolving wiki content. For example, a support chatbot can pull the latest troubleshooting steps from an internal knowledge base, or a research assistant can surface recent policy updates from a public wiki. The server’s OAuth requirement for write operations ensures that only authorized users can modify content, preserving the integrity of the wiki while still enabling automation.
Integration is straightforward: an AI client simply declares a dependency on the MediaWiki MCP Server and calls the desired tools within its prompts. The server handles authentication, HTTP requests to the target MediaWiki instance, and returns structured JSON objects that the model can ingest. Because MCP abstracts transport details (stdio or HTTP), the same server works across a variety of environments—desktop assistants, IDE extensions, or web‑based tools—without code changes.
What sets this MCP apart is its tight coupling with the MediaWiki platform’s native features. Unlike generic web scraping or REST clients, it leverages the official OAuth extension for secure access and respects MediaWiki’s revision system. This ensures that edits are traceable, conflicts are managed, and the assistant behaves like a first‑class contributor to the wiki ecosystem. For developers seeking a reliable, secure bridge between AI and MediaWiki, this server provides a ready‑made solution that reduces boilerplate while maximizing functionality.
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