{
  "id": "tool-server:mcp-fivetran",
  "_kind": "ToolServer",
  "_file": "extensions/tool-servers/mcp-data-serverless.yaml",
  "_cluster": "extensions",
  "attributes": {
    "displayName": "Fivetran MCP Server",
    "description": "MCP server for natural language control of Fivetran data pipelines via AI agents.\nProvides 25+ tools built on the Fivetran REST API to manage connectors, trigger syncs,\ncheck connection status, and control data pipeline operations.\n",
    "protocol": "mcp",
    "category": "data-engineering",
    "repoUrl": "https://github.com/kellykohlleffel/fivetran-mcp-toolkit",
    "maintainer": "Community",
    "mcpTransports": [
      "mcp-transport:stdio"
    ]
  },
  "outgoingEdges": [
    {
      "from": "tool-server:mcp-fivetran",
      "to": "responsibility:data-pipeline-reliability",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Connector status, sync failures, and freshness support pipeline reliability."
      }
    },
    {
      "from": "tool-server:mcp-fivetran",
      "to": "workflow:data-pipeline-monitoring",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Fivetran connector metadata is a direct data-pipeline monitoring input."
      }
    },
    {
      "from": "tool-server:mcp-fivetran",
      "to": "tool:fivetran",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-fivetran",
      "to": "domain:data-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}