{
  "id": "tool-server:mcp-mlflow",
  "_kind": "ToolServer",
  "_file": "extensions/tool-servers/mcp-ai-ml.yaml",
  "_cluster": "extensions",
  "attributes": {
    "displayName": "MLflow MCP Server",
    "description": "MCP server providing access to the MLflow ML lifecycle platform.\nEnables AI agents to log experiments, register models, query run\nmetrics, manage artifacts, and track model lineage.\n",
    "protocol": "mcp",
    "category": "ai",
    "repoUrl": "https://github.com/mlflow/mlflow-mcp-server",
    "maintainer": "Community",
    "mcpTransports": [
      "mcp-transport:stdio"
    ]
  },
  "outgoingEdges": [
    {
      "from": "tool-server:mcp-mlflow",
      "to": "tool:mlflow",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-mlflow",
      "to": "stack-part:model-registry",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-mlflow",
      "to": "domain:ml-ops",
      "kind": "lib_applies_to_domain",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-mlflow",
      "to": "domain:machine-learning",
      "kind": "lib_applies_to_domain",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}