No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by call518 · MCP Server · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MCP-Airflow-API safe to install? View the security audit →
🚀 MCP-Airflow-API Revolutionary Open Source Tool for Managing Apache Airflow with Natural Language Architecture & Internal (DeepWiki) 📋 Overview 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.  claude plugin marketplace
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MCP-Airflow-API is ⚡ Control Apache Airflow with natural language via MCP. Chat with your workflows using Claude, GPT, or any LLM — no REST API calls needed. Supports Airflow 2.x (43 tools) & 3.0+ (45+ tools).. It is categorized as a MCP Server with 52 GitHub stars.
MCP-Airflow-API is primarily written in Python. It covers topics such as agentic-ai, ai-agents, airflow-api.
You can find installation instructions and usage details in the MCP-Airflow-API GitHub repository at github.com/call518/MCP-Airflow-API. The project has 52 stars and 12 forks, indicating an active community.
MCP-Airflow-API is released under the MIT license, making it free to use and modify according to the license terms.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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