Appwrite Docs

Provides intelligent access to Appwrite documentation through vector-based semantic search, direct page retrieval, and table of contents navigation for contextual API reference during development workflows.

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.