MCP-Airflow-API vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	MCP-Airflow-API by call518	filesystem by modelcontextprotocol
Stars	★ 46	★ 85,748
30d uses	—	—
Score	45	77
Official	—	✓
Categories	Developer ToolsOps & InfraAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

MCP-Airflow-API · Summary

MCP server enabling natural language control of Apache Airflow workflows through Model Context Protocol.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

MCP-Airflow-API · Use cases

Airflow administrators managing DAGs and tasks through natural language commands
Operations teams monitoring workflow status and performance in large environments
Data engineers interacting with Airflow clusters using LLM assistants like Claude or GPT

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

MCP-Airflow-API · Install

Installation

Method 1: Direct Installation from PyPI

uvx --python 3.12 mcp-airflow-api

Method 2: Claude-Desktop MCP Client Integration

{
  "mcpServers": {
    "mcp-airflow-api": {
      "command": "uvx",
      "args": ["--python", "3.12", "mcp-airflow-api"],
      "env": {
        "AIRFLOW_API_VERSION": "v2",
        "AIRFLOW_API_BASE_URL": "http://localhost:8080/api",
        "AIRFLOW_API_USERNAME": "airflow",
        "AIRFLOW_API_PASSWORD": "airflow"
      }
    }
  }
}

Method 3: Docker Compose

git clone https://github.com/call518/MCP-Airflow-API.git
cd MCP-Airflow-API
cp .env.example .env
# Edit .env with your Airflow API settings
docker-compose up -d

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.