{
  "id": "tool-server:mcp-databricks-candidate",
  "_kind": "ToolServer",
  "_file": "extensions/tool-servers/ora-discovered-mcp-candidates.yaml",
  "_cluster": "extensions",
  "attributes": {
    "displayName": "Databricks MCP candidate",
    "description": "Candidate MCP server for Databricks workspace, SQL warehouse, and notebook workflows. Ora surfaced Databricks\nfor data analytics intents while the graph lacked a Databricks-specific ToolServer.\n",
    "protocol": "mcp-stdio",
    "provenance": "custom",
    "category": "analytics",
    "maintainer": "Candidate",
    "sourceRef": "source-ref:ora-discover-api",
    "candidateStatus": "needs-source-verification",
    "ora": {
      "domain": "databricks.com",
      "score": 71,
      "grade": "B"
    }
  },
  "outgoingEdges": [
    {
      "from": "tool-server:mcp-databricks-candidate",
      "to": "tool:databricks",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-databricks-candidate",
      "to": "source-ref:ora-discover-api",
      "kind": "sourced_from",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-databricks-candidate",
      "to": "role:data-scientist",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Workspace and warehouse access supports data-science investigation and pipeline review."
      }
    },
    {
      "from": "tool-server:mcp-databricks-candidate",
      "to": "role:ml-engineer",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Databricks notebooks and ML workflows are relevant to model-development responsibilities."
      }
    },
    {
      "from": "tool-server:mcp-databricks-candidate",
      "to": "workflow:data-pipeline-monitoring",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Databricks jobs and SQL warehouses are common data-pipeline monitoring surfaces."
      }
    }
  ],
  "incomingEdges": []
}