Airflow Api
🔍Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monit
51.9
🚀 Why Airflow Api?
Airflow Api is a standout mcp server — a solid trust score of 51.9/100, 9 capabilities spanning a wide range of use cases, and native support for MCP.
API Access
Full programmatic control via REST endpoints
Containers
Leverage containers for enhanced productivity
Container Ready
Deploy anywhere with Docker support
Language-Models
Leverage language-models for enhanced productivity
🔌 Protocols & Compatibility
MCP
⚡ Capabilities
api-integrationcontainersdockerlanguage-modelsloggingmonitoringrest-apiweb-browsingweb-scraping
🔧 Technical Specifications
| Type | Mcp Server |
| Language | Python |
| Trust Score | 51.9/100 (Good) |
| Stars | ★ 44 |
| Categories | AI & MLCloud & InfrastructureWeb & Scraping |
| Protocols | MCP |
| Source | https://github.com/call518/MCP-Airflow-API |
51.9/100
Trust Score
Well-established with solid validation
44
GitHub Stars
Early-stage with initial engagement
—
Unverified
Not yet claimed or verified
Tags:#agent#agentic-ai#ai-agents#airflow-api#airflow-client#airflow-rest-api#apache-airflow#dag-management
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