MindQL queries, hybrid search, and a thought graph - read/write memory for AI agents.
Engrava is an MCP integration. MindQL queries, hybrid search, and a thought graph - read/write memory for AI agents.
The published pypi package is engrava-mcp, version 0.7.0. Its declared MCP transport is stdio.
The package declares ENGRAVA_DB_PATH (required): 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.; ENGRAVA_MCP_CONFIG: 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.; ENGRAVA_MCP_READ_ONLY: Set to true to register no write tools..
Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.
View the publisher’s registry entry · Project repository. This profile uses version 0.7.0 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.
Browse related other integrations MCP servers for tools that cover the same kind of work.
| Variable | Description | Required |
|---|---|---|
| ENGRAVA_DB_PATH | 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. | Yes |
| ENGRAVA_MCP_CONFIG | 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. | Optional |
| ENGRAVA_MCP_READ_ONLY | Set to true to register no write tools. | Optional |
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