airflow-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AIRFLOW_TOOLS | No | Category toggles | |
| MCP_TRANSPORT | No | Set to http to opt in to Streamable HTTP transport | |
| AIRFLOW_API_URL | Yes | Airflow REST API base, e.g. http://airflow.example.com:8080/api/v1 | |
| AIRFLOW_DISABLE | No | Category toggles | |
| AIRFLOW_PASSWORD | No | Basic-auth password (secret) | |
| AIRFLOW_USERNAME | No | Basic-auth username | |
| AIRFLOW_ALLOW_WRITE | No | true enables airflow-trigger-dag / airflow-clear-task |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| airflow-list-dagsB | List Airflow DAGs (active by default) with optional tag filter and dag_id substring search |
| airflow-list-runsA | List recent runs of one Airflow DAG, optionally filtered by state, ordered newest first |
| airflow-get-task-instancesB | List task instances for a specific Airflow DAG run with state, try_number, duration |
| airflow-get-task-logsB | Fetch the tail (last N kB) of an Airflow task instance log for a specific try_number |
| airflow-trigger-dagA | Trigger a new Airflow DAG run with optional conf payload and note. Write-gated by AIRFLOW_ALLOW_WRITE. |
| airflow-clear-taskA | Clear specific task instances in an Airflow DAG run (re-run them); supports include_upstream / include_downstream. Write-gated by AIRFLOW_ALLOW_WRITE. |
| dag-health-rollupA | Aggregated DAG health: success-rate over the last N runs + count breakdown (succeeded/failed/queued) + average duration + last-failed-run id + (optional) failing task instances. Replaces the airflow-list-runs + airflow-get-task-instances combo for 'is this DAG healthy right now?'. |
| search-toolsA | Discover available Airflow MCP tools by natural language query. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| dag-failure-triage | Pull recent runs of a DAG, isolate the most recent failed run, dump the failing task tail logs, and propose a remediation. If @us-all/dbt-mcp is also installed, suggest cross-referencing with dbt run results when the DAG runs dbt. |
| dag-schedule-audit | Sweep all active DAGs, identify schedule misses (next_dagrun far in the past), abnormally low success rates, and stuck/queued runs. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/us-all/airflow-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server