airflow-mcp-server

airflow-mcp-server

An MCP server for controlling Apache Airflow 3 via its REST API, enabling operations like DAG management, task monitoring, and more through natural language.

Category
Visit Server

README

airflow-mcp-server: An MCP Server for controlling Airflow 3

mcp-name: io.github.abhishekbhakat/airflow-mcp-server

MCPHub Certification

This MCP server is certified by MCPHub. This certification ensures that airflow-mcp-server follows best practices for Model Context Protocol implementation.

Find on Glama

<a href="https://glama.ai/mcp/servers/6gjq9w80xr"> <img width="380" height="200" src="https://glama.ai/mcp/servers/6gjq9w80xr/badge" /> </a>

Overview

A Model Context Protocol server for controlling Airflow via Airflow APIs.

Demo Video

https://github.com/user-attachments/assets/f3e60fff-8680-4dd9-b08e-fa7db655a705

Setup

Usage with Claude Desktop

Stdio Transport (Default)

{
    "mcpServers": {
        "airflow-mcp-server": {
            "command": "uvx",
            "args": [
                "airflow-mcp-server",
                "--base-url",
                "http://localhost:8080",
                "--auth-token",
                "<jwt_token>"
            ]
        }
    }
}

See CONFIG.md for IDE-specific configuration examples across popular MCP clients.

HTTP Transport

{
    "mcpServers": {
        "airflow-mcp-server-http": {
            "command": "uvx",
            "args": [
                "airflow-mcp-server",
                "--http",
                "--port",
                "3000",
                "--base-url",
                "http://localhost:8080",
                "--auth-token",
                "<jwt_token>"
            ]
        }
    }
}

Note:

  • Set base_url to the root Airflow URL (e.g., http://localhost:8080).
  • Do not include /api/v2 in the base URL. The server will automatically fetch the OpenAPI spec from ${base_url}/openapi.json.
  • Only JWT token is required for authentication. Cookie and basic auth are no longer supported in Airflow 3.0.

Transport Options

The server supports multiple transport protocols:

Stdio Transport (Default)

Standard input/output transport for direct process communication:

airflow-mcp-server --safe --base-url http://localhost:8080 --auth-token <jwt>

HTTP Transport

Uses Streamable HTTP for better scalability and web compatibility:

airflow-mcp-server --safe --http --port 3000 --base-url http://localhost:8080 --auth-token <jwt>

Note: SSE transport is deprecated. Use --http for new deployments as it provides better bidirectional communication and is the recommended approach by FastMCP.

Operation Modes

The server supports two operation modes:

  • Safe Mode (--safe): Only allows read-only operations (GET requests). This is useful when you want to prevent any modifications to your Airflow instance.
  • Unsafe Mode (--unsafe): Allows all operations including modifications. This is the default mode.

To start in safe mode:

airflow-mcp-server --safe

To explicitly start in unsafe mode (though this is default):

airflow-mcp-server --unsafe

Tool Discovery Modes

The server supports two tool discovery approaches:

  • Hierarchical Discovery (default): Tools are organized by categories (DAGs, Tasks, Connections, etc.). Browse categories first, then select specific tools. More manageable for large APIs.
  • Static Tools (--static-tools): All tools available immediately. Better for programmatic access but can be overwhelming.

To use static tools:

airflow-mcp-server --static-tools

Command Line Options

Usage: airflow-mcp-server [OPTIONS]

  MCP server for Airflow

Options:
  -v, --verbose      Increase verbosity
  -s, --safe         Use only read-only tools
  -u, --unsafe       Use all tools (default)
  --static-tools     Use static tools instead of hierarchical discovery
  --base-url TEXT    Airflow API base URL
  --auth-token TEXT  Authentication token (JWT)
  --http             Use HTTP (Streamable HTTP) transport instead of stdio
  --sse              Use Server-Sent Events transport (deprecated, use --http
                     instead)
  --port INTEGER     Port to run HTTP/SSE server on (default: 3000)
  --host TEXT        Host to bind HTTP/SSE server to (default: localhost)
  --help             Show this message and exit.

Using Resources

Point the server at a folder of Markdown guides whenever you want agents to reference local documentation:

airflow-mcp-server --base-url http://localhost:8080 --auth-token <jwt> --resources-dir ~/airflow-resources
  • Every top-level .md/.markdown file becomes a read-only resource (file:///<slug>) visible in your MCP client.
  • The first # Heading in each file (if present) is used as the resource title; otherwise the filename stem is used.
  • Set AIRFLOW_MCP_RESOURCES_DIR=/path/to/docs if you prefer environment-based configuration.
  • Update the files on disk and restart the server to refresh the resources list.

Considerations

Authentication

  • Only JWT authentication is supported in Airflow 3.0. You must provide a valid AUTH_TOKEN.

Page Limit

The default is 100 items, but you can change it using maximum_page_limit option in [api] section in the airflow.cfg file.

Transport Selection

  • Use stdio transport for direct process communication (default)
  • Use HTTP transport for web deployments, multiple clients, or when you need better scalability
  • Avoid SSE transport as it's deprecated in favor of HTTP transport

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured