A Model Context Protocol (MCP) server implementation for Apache Airflow, enabling seamless integration with MCP clients. This project provides a
A Model Context Protocol (MCP) server implementation for Apache Airflow, enabling seamless integration with MCP clients. This project provides a standardized way to
This project implements a Model Context Protocol server that wraps Apache Airflow's REST API, allowing MCP clients to interact with Airflow in a standardized way. It uses the official Apache Airflow client library to ensure compatibility and maintainability.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| config | connections |
| dag | dagrun |
| dagstats | dataset |
| eventlog | importerror |
| monitoring | plugin |
| pool | provider |
| taskinstance | variable |
| Variable | Description | Required |
|---|---|---|
| AIRFLOW_HOST | Endpoint or connection string the server talks to. | Optional |
| AIRFLOW_USERNAME | Configuration value read at startup. | Optional |
| AIRFLOW_PASSWORD | Configuration value read at startup. | Optional |
| AIRFLOW_JWT_TOKEN | Credential the server authenticates with. | Yes |
| READ_ONLY | Configuration value read at startup. | Optional |
| ENDPOINT_URL | Endpoint or connection string the server talks to. | Yes |
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Connect Flutter applications with AI coding assistants via the Model Context Protocol.
Enables natural language interaction with Splunk Enterprise and Cloud for searching data and managing resources.