mcp-server-odoo and airflow-mcp-server

These are ecosystem siblings, as tool A is a specific MCP server implementation for Odoo, and tool B is an MCP server implementation for Apache Airflow, demonstrating different specialized applications of the broader Model Context Protocol within an ecosystem.

mcp-server-odoo
80
Verified
airflow-mcp-server
60
Established
Maintenance 13/25
Adoption 18/25
Maturity 25/25
Community 24/25
Maintenance 6/25
Adoption 13/25
Maturity 25/25
Community 16/25
Stars: 190
Forks: 97
Downloads: 4,422
Commits (30d): 0
Language: Python
License: MPL-2.0
Stars: 31
Forks: 7
Downloads: 444
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

About mcp-server-odoo

ivnvxd/mcp-server-odoo

A Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulation.

Implements smart field selection and hierarchical LLM-optimized output formatting to reduce token usage, with support for both secure API key/credential authentication and a lightweight YOLO mode for testing. Communicates via stdio transport with environment-based configuration, compatible across Claude Desktop, VS Code, Cursor, and other AI editors, while offering optional Docker deployment and multi-language response support through Odoo's locale system.

About airflow-mcp-server

abhishekbhakat/airflow-mcp-server

MCP Server for Apache Airflow

Exposes Airflow's REST API as MCP tools with hierarchical discovery (DAGs, Tasks, Connections, etc.) or static enumeration, supporting both read-only safe mode and full write operations. Offers flexible transport options including stdio (default) and HTTP/Streamable HTTP, with JWT authentication and optional resource integration for markdown documentation. Dynamically generates tools from Airflow's OpenAPI spec, enabling AI clients like Claude Desktop to programmatically manage workflows, trigger DAGs, and query operational state.

Scores updated daily from GitHub, PyPI, and npm data. How scores work