{
  "run_id": "langflow-ai--langflow-claude-haiku-5-5-1792784516336969478",
  "checker": {
    "claims": [
      {
        "claim": "Langflow flows are exposed as MCP tools that an MCP client can call",
        "command": "/tmp/lf-venv/bin/langflow run tools/call {\"tool\": \"coldpass_probe\", \"arguments\": {\"input_value\": \"hello coldpass\"}}",
        "evidence": "hello coldpass\"}], \"isError\": false}",
        "expected": "tool result echoes the input text",
        "input": "{\"tool\": \"coldpass_probe\", \"arguments\": {\"input_value\": \"hello coldpass\"}}",
        "kind": "claim",
        "outcome": "Real input produced the expected result: hello coldpass",
        "source": "**Deploy as an MCP server** and turn your flows into tools for MCP clients.",
        "source_checked": true,
        "source_file": "README.md",
        "verdict": "yes"
      }
    ],
    "cycle_checks": [
      {
        "claim": "Scheduled or looping main behavior",
        "command": "",
        "evidence": "Entry points inspected: no cron, scheduler, --once or --now in src/backend/base/langflow; the only long-running loop is 'langflow listeners', which holds external provider connections (Slack Socket Mode, Microsoft Graph polling, Gmail Pub/Sub) and needs real provider credentials, so it was not exercised. The product webhook endpoints need external callers.",
        "expected": "identify the product trigger",
        "input": "source inspection",
        "kind": "cycle",
        "outcome": "Entry points inspected: no cron, scheduler, --once or --now in src/backend/base/langflow; the only long-running loop is 'langflow listeners', which holds external provider connections (Slack Socket Mode, Microsoft Graph polling, Gmail Pub/Sub) and needs real provider credentials, so it was not exercised. The product webhook endpoints need external callers.",
        "source": "repository entry points",
        "verdict": "yes"
      }
    ],
    "details": {
      "argv": [
        "/tmp/lf-venv/bin/langflow",
        "run"
      ],
      "hosting": "local",
      "kind": "mcp_http",
      "protocolVersion": "2025-06-18",
      "scope": "remote hosted MCP initialize + tools/list",
      "serverInfo": {
        "name": "langflow-mcp-project-cc3bdc6e-d539-490a-a3d9-cafbe628b89c",
        "version": "1.30.0"
      },
      "tool_result": {
        "content": [
          {
            "text": "hello coldpass",
            "type": "text"
          }
        ],
        "isError": false
      },
      "tool_result_checked": true,
      "tool_schema_bytes": 363,
      "tools": [
        "coldpass_probe"
      ],
      "transport": "streamable-http",
      "url": "http://127.0.0.1:7860/api/v1/mcp/project/cc3bdc6e-d539-490a-a3d9-cafbe628b89c/streamable",
      "working": true
    },
    "evidence_strength": "readme_checked",
    "example_checks": [
      {
        "claim": "Install Langflow locally from PyPI (README Quickstart)",
        "command": "",
        "deferred": false,
        "evidence": "Not run as an example; the install step was executed directly: uv pip install langflow -U in a fresh venv (/tmp/lf-venv, Python 3.12.3). No documented example command in the README was runnable as a finite example.",
        "expected": "documented command completes successfully",
        "input": "",
        "kind": "example",
        "outcome": "Not run as an example; the install step was executed directly: uv pip install langflow -U in a fresh venv (/tmp/lf-venv, Python 3.12.3). No documented example command in the README was runnable as a finite example.",
        "source": "README.md Quickstart > Install locally",
        "verdict": "blocked"
      }
    ],
    "status": "PASS"
  },
  "diagnosis": null
}