pulsemcp scanned Safe content atomic mcp-remote

Apache Airflow

MCP-Server-Apache-Airflow provides a bridge between AI assistants and Apache Airflow, enabling management and monitoring of workflows through natural language. Developed by Gyeongmo Yang, this Python-based server exposes a comprehensive set of Airflow API endpoints including DAG management, task instances, variables, connections, and monitoring capabilities. The implementation supports both stdio and SSE transport modes, authenticates with Airflow via username/password, and returns responses as structured text content. This server is particularly valuable for data engineers and workflow administrators who need to trigger DAG runs, check execution status, or manage Airflow resources without leaving their AI assistant interface.

Cognium trust score

65%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/yangkyeongmo/mcp-server-apache-airflow
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve Apache Airflow from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"