engrava

{
  "$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"
        }
      ]
    }
  ]
}