Fraise

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-25T20:40:15.570927Z",
      "publishedAt": "2026-10-25T20:40:15.570927Z",
      "statusChangedAt": "2026-10-25T20:40:15.570927Z"
    }
  },
  "server": {
    "name": "io.github.FraiseHQ/fraise",
    "title": "Fraise",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.3.5",
    "packages": [
      {
        "transport": {
          "type": "stdio"
        },
        "identifier": "ghcr.io/fraisehq/fraise:0.3.5",
        "runtimeHint": "docker",
        "registryType": "oci",
        "packageArguments": [
          {
            "type": "positional",
            "value": "mcp",
            "valueHint": "subcommand",
            "description": "Runs the stdio MCP bridge rather than the daemon the image starts by default."
          },
          {
            "name": "-addr",
            "type": "named",
            "default": "http://host.docker.internal:9876",
            "isRequired": true,
            "description": "URL of the running Fraise daemon the bridge forwards to. The daemon runs separately, like a database behind a connection URL: on the host (brew services start fraise, or systemctl --user start fraise), or as its own container with port 9876 published. Inside this container 127.0.0.1 is the bridge itself, so the default names the host."
          }
        ],
        "runtimeArguments": [
          {
            "name": "--add-host",
            "type": "named",
            "value": "host.docker.internal:host-gateway",
            "isRequired": true,
            "description": "Resolves host.docker.internal to the host on Linux too, where Docker Desktop is not there to do it."
          }
        ]
      }
    ],
    "repository": {
      "id": "1207409551",
      "url": "https://github.com/FraiseHQ/fraise",
      "source": "github"
    },
    "websiteUrl": "https://docs.getfraise.dev",
    "description": "Memory database for AI agents: remember and recall over a running Fraise daemon, in FQL."
  }
}