MCP MCP Server

MCP-Airflow-API is an MCP server that leverages the Model Context Protocol (MCP) to transform Apache Airflow REST API operations into natural

Local serverstdioPython

What is the MCP MCP server?

MCP MCP server exists for a simple reason — assistants are far more useful when they can act on MCP directly instead of describing what you should do. MCP-Airflow-API is an MCP server that leverages the Model Context Protocol (MCP) to transform Apache Airflow REST API operations into natural language tools. This project hides the complexity of API structures and enables intuitive.

What you get

Have you ever wondered how amazing it would be if you could manage your Apache Airflow workflows using natural language instead of complex REST API calls or web interface manipulations? MCP-Airflow-API is the revolutionary open-source project that makes this goal a reality.

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

What the assistant can call

Once MCP is connected, these are the calls the assistant has available:

  • Feature — API v1 (Airflow 2.x)
  • Configuration — The Configuration tool exposed by this server
  • Cleanup — The Cleanup tool exposed by this server

Configuration and credentials

You will need 5 environment variables: AIRFLOW_API_VERSION, AIRFLOW_API_BASE_URL, AIRFLOW_API_USERNAME, AIRFLOW_API_PASSWORD, REMOTE_SECRET_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp mcp server does with a few real requests.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. MCP's toolset — Feature, Configuration, Cleanup — is a fair guide to whether it matches your workflow.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
FeatureAPI v1 (Airflow 2.x)
ConfigurationThe Configuration tool exposed by this server.
CleanupThe Cleanup tool exposed by this server.

How to install the MCP MCP server

{
  "mcpServers": {
    "mcp-airflow-api": {
      "type": "streamable-http",
      "url": "http://your-server:8000/mcp",
      "headers": {
        "Authorization": "Bearer your-secure-secret-key-here"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
AIRFLOW_API_VERSIONConfiguration value read at startup.Optional
AIRFLOW_API_BASE_URLEndpoint or connection string the server talks to.Yes
AIRFLOW_API_USERNAMEConfiguration value read at startup.Optional
AIRFLOW_API_PASSWORDConfiguration value read at startup.Optional
REMOTE_SECRET_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use MCP to Feature.
  • Use MCP to Configuration.
  • Use MCP to Cleanup.

Frequently asked questions

It connects MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 3 tools (Feature, Configuration, Cleanup) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP directly.