Appwrite Docs
Provides intelligent access to Appwrite documentation through vector-based semantic search, direct page retrieval, and table of co
MCP server implementation by Appwrite that provides AI assistants with access to the complete Appwrite documentation through vector-based semantic search and direct page retrieval. The implementation downloads documentation content from the Appwrite website repository, processes it into a LibSQL vector database using OpenAI embeddings for semantic similarity matching, and exposes three core tools: searchDocs for intelligent content discovery, getDocsPage for retrieving specific documentation pages, and getTableOfContents for navigation structure. Built with TypeScript and the mcp-framework, it features configurable similarity thresholds, batch processing for efficient indexing, and HTTP transport with CORS support for web-based integrations, serving developers who need contextual access to Appwrite's API documentation, SDK guides, and implementation examples during coding workflows.
Connection
- streamable_http —
https://mcp-for-docs.appwrite.io
Source
Repository: https://github.com/appwrite/mcp-for-docs
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