Hivemind

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-11-08T00:28:18.102713Z",
      "publishedAt": "2026-11-08T00:28:18.102713Z",
      "statusChangedAt": "2026-11-08T00:28:18.102713Z"
    }
  },
  "server": {
    "name": "io.github.monochrome-muncher/hivemind",
    "title": "Hivemind",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "2.18.1",
    "packages": [
      {
        "transport": {
          "url": "http://localhost:8000/mcp",
          "type": "streamable-http",
          "headers": [
            {
              "name": "Authorization",
              "value": "Bearer {hivemind_key}",
              "isSecret": true,
              "variables": {
                "hivemind_key": {
                  "isSecret": true,
                  "isRequired": true,
                  "description": "Your Hivemind key (starts with hm_)."
                }
              },
              "isRequired": true,
              "description": "Bearer followed by your Hivemind key: the org key at first, your agent key once an admin activates it."
            }
          ]
        },
        "identifier": "ghcr.io/monochrome-muncher/hivemind:v2.18.1",
        "registryType": "oci",
        "runtimeArguments": [
          {
            "name": "-p",
            "type": "named",
            "value": "8000:8000",
            "description": "Publish the MCP port on localhost."
          }
        ],
        "environmentVariables": [
          {
            "name": "HIVEMIND_DATABASE_URL",
            "isSecret": true,
            "isRequired": true,
            "description": "Postgres 16+ with pgvector 0.8+, for example postgresql://user:password@host:5432/hivemind. Migrations run when the container starts."
          },
          {
            "name": "HIVEMIND_EMBEDDING_ENDPOINT",
            "isRequired": true,
            "description": "An OpenAI-compatible embeddings endpoint, for example a local vLLM at http://host.docker.internal:8001/v1."
          },
          {
            "name": "HIVEMIND_EMBEDDING_MODEL",
            "default": "Qwen/Qwen3-Embedding-0.6B",
            "description": "The embedding model name the endpoint serves."
          },
          {
            "name": "HIVEMIND_EMBEDDING_DIM",
            "format": "number",
            "default": "1024",
            "description": "Vector width; must match the model and stay the same for the life of the database (at most 2000)."
          },
          {
            "name": "HIVEMIND_EMBEDDING_API_KEY",
            "isSecret": true,
            "description": "API key for the embedding endpoint, if it needs one."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/monochrome-muncher/hivemind",
      "source": "github"
    },
    "websiteUrl": "https://github.com/monochrome-muncher/hivemind/blob/main/plugins/hivemind/README.md",
    "description": "Shared long-term memory for a team's AI agents. What one agent learns, the others can find."
  }
}