Appwrite Docs
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/appwrite/mcp-for-docs
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Appwrite Docs from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.