pulsemcp Safe content atomic mcp-remote

Airflow

Airflow MCP Server provides a bridge between Claude and Apache Airflow, enabling direct interaction with Airflow workflows through the API. Built by Abhishek Bhakat, it supports both read-only (safe) and full-access (unsafe) operation modes, allowing users to list DAGs, check statuses, trigger runs, and manage Airflow resources without leaving their conversation interface. The implementation parses the Airflow OpenAPI specification to dynamically generate tools, supports both token and cookie-based authentication, and handles parameter validation - making it particularly valuable for DevOps teams who need to monitor and control workflow orchestration through natural language.

Cognium trust score

50%

Tier

Unverified

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/abhishekbhakat/airflow-mcp-server
Author type: human
Updated: 2026-08-31

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MCP

Resolve 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"