memory-find

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
  "name": "io.github.kKEo/memory-find",
  "description": "Local, explainable knowledge base for AI agents: hybrid search with provenance over SQLite.",
  "repository": {
    "url": "https://github.com/kKEo/memory-find",
    "source": "github"
  },
  "version": "1.5.0",
  "websiteUrl": "https://github.com/kKEo/memory-find",
  "packages": [
    {
      "registryType": "mcpb",
      "identifier": "https://github.com/kKEo/memory-find/releases/download/v1.5.0/memo-mcp_1.5.0_linux_amd64.tar.gz",
      "version": "1.5.0",
      "fileSha256": "3aa63e281bb2c1d13508c439efe63d8157347810b11b1e7d81616336d0f6ea55",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Name of the knowledge base to open; one SQLite file per name under $MEMO_HOME/kb/.",
          "format": "string",
          "default": "default",
          "name": "MEMO_KB"
        },
        {
          "description": "Base directory for knowledge bases and settings (default ~/.memo-mcp).",
          "format": "string",
          "name": "MEMO_HOME"
        },
        {
          "description": "Embedding model id from `memo-mcp model ls` (default granite-small-r2).",
          "format": "string",
          "name": "MEMO_MODEL"
        }
      ]
    }
  ]
}