Incident Response MCP for Apache Airflow

Diagnose Airflow failures from UI links with bounded logs and optional recovery actions.

What does this entry provide?

Incident Response MCP for Apache Airflow is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 67/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Incident Response MCP for Apache Airflow to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.

Snapshot facts

Source: Official MCP Registry
Quality: 67/100
Install method: pypi
Repo: madamak/apache-airflow-mcp-server
Repo updated: Jul 16, 2026

Install command

uvx apache-airflow-mcp-server==1.0.2

Install method: pypi

Review the upstream source before running this command.

GitHub project Homepage

Quality

Repo stars

Repo updated

Jul 16, 2026

How is this score calculated?

Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.

MCP manifest

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-07-16T15:50:22.488195Z",
      "publishedAt": "2026-07-16T15:50:22.488195Z",
      "statusChangedAt": "2026-07-16T15:50:22.488195Z"
    }
  },
  "server": {
    "name": "io.github.madamak/apache-airflow-mcp-server",
    "title": "Incident Response MCP for Apache Airflow",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "1.0.2",
    "packages": [
      {
        "version": "1.0.2",
        "transport": {
          "type": "stdio"
        },
        "identifier": "apache-airflow-mcp-server",
        "runtimeHint": "uvx",
        "registryType": "pypi",
        "registryBaseUrl": "https://pypi.org",
        "environmentVariables": [
          {
            "name": "AIRFLOW_MCP_HOST",
            "isRequired": true,
            "description": "Base URL of the Airflow instance.",
            "placeholder": "https://airflow.example.com"
          },
          {
            "name": "AIRFLOW_MCP_TOKEN",
            "isSecret": true,
            "description": "Bearer token. Provide this or both username and password; it takes precedence when set."
          },
          {
            "name": "AIRFLOW_MCP_USERNAME",
            "description": "Basic-auth username. Required with password when token is omitted."
          },
          {
            "name": "AIRFLOW_MCP_PASSWORD",
            "isSecret": true,
            "description": "Basic-auth password. Required with username when token is omitted."
          },
          {
            "name": "AIRFLOW_MCP_API_VERSION",
            "value": "v2",
            "description": "The directory install uses the Airflow 3 client. See the README for Airflow 2 setup."
          },
          {
            "name": "AIRFLOW_MCP_READ_ONLY",
            "format": "boolean",
            "choices": [
              "true",
              "false"
            ],
            "default": "true",
            "description": "Expose only read tools unless write access is deliberately selected."
          }
        ]
      }
    ],
    "repository": {
      "id": "1105594193",
      "url": "https://github.com/madamak/apache-airflow-mcp-server",
      "source": "github"
    },
    "websiteUrl": "https://github.com/madamak/apache-airflow-mcp-server#readme",
    "description": "Diagnose Airflow failures from UI links with bounded logs and optional recovery actions."
  }
}

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