{"server":{"$schema":"https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json","name":"ai.sovantica/engrava","description":"MindQL queries, hybrid search, and a thought graph - read/write memory for AI agents.","repository":{"url":"https://github.com/sovantica/engrava-mcp","source":"github"},"version":"0.7.0","packages":[{"registryType":"pypi","identifier":"engrava-mcp","version":"0.7.0","transport":{"type":"stdio"},"environmentVariables":[{"description":"Absolute path to the SQLite database file. Created if missing; its directory must exist. Enough on its own: full-text search, the graph and MindQL work, but vector search needs ENGRAVA_MCP_CONFIG.","isRequired":true,"format":"filepath","name":"ENGRAVA_DB_PATH"},{"description":"Absolute path to an engrava.yaml, for an embedding provider (vector search) and the thought/edge journal. When set, it takes precedence and ENGRAVA_DB_PATH is not read.","format":"filepath","name":"ENGRAVA_MCP_CONFIG"},{"description":"Set to true to register no write tools.","format":"boolean","name":"ENGRAVA_MCP_READ_ONLY"}]}]},"_meta":{"io.modelcontextprotocol.registry/official":{"status":"active","statusChangedAt":"2026-10-02T21:18:52.171886Z","publishedAt":"2026-10-02T21:18:52.171886Z","updatedAt":"2026-10-02T21:18:52.171886Z","isLatest":true}}}