{
  "id": "tool-server:mcp-posthog",
  "_kind": "ToolServer",
  "_file": "extensions/tool-servers/mcp-saas-services.yaml",
  "_cluster": "extensions",
  "attributes": {
    "displayName": "PostHog MCP Server",
    "description": "MCP server providing access to the PostHog product analytics platform.\nEnables AI agents to query events, list feature flags, retrieve insights\nand dashboards, and explore user funnels and retention data.\n",
    "protocol": "mcp",
    "category": "analytics",
    "repoUrl": "https://github.com/PostHog/posthog-mcp",
    "maintainer": "PostHog",
    "mcpTransports": [
      "mcp-transport:stdio"
    ]
  },
  "outgoingEdges": [
    {
      "from": "tool-server:mcp-posthog",
      "to": "role:product-manager",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "PostHog analytics, feature flags, and experiments support product decision workflows."
      }
    },
    {
      "from": "tool-server:mcp-posthog",
      "to": "workflow:a-b-test-lifecycle",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Feature flags and experiment analysis support A/B lifecycle projections."
      }
    },
    {
      "from": "tool-server:mcp-posthog",
      "to": "workflow:user-feedback-loop",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Session recordings and funnels inform product feedback loops."
      }
    },
    {
      "from": "tool-server:mcp-posthog",
      "to": "tool:posthog",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "tool-server:mcp-posthog",
      "to": "domain:software-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}