weather-mcp and weather-mcp-a2a

The second tool is an agentic AI system that likely uses the first tool's MCP server (weather-mcp/weather-mcp) as its underlying infrastructure to access weather data, making them ecosystem siblings in a client-server relationship.

weather-mcp
36
Emerging
weather-mcp-a2a
20
Experimental
Maintenance 10/25
Adoption 4/25
Maturity 22/25
Community 0/25
Maintenance 10/25
Adoption 1/25
Maturity 9/25
Community 0/25
Stars: 5
Forks:
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 1
Forks:
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Dependents
No Package No Dependents

About weather-mcp

weather-mcp/weather-mcp

MCP server providing 12 weather tools to AI assistants. Features: forecasts, current conditions, historical data (1940-present), weather alerts, air quality, marine conditions, lightning detection, weather radar imagery, river monitoring, and wildfire tracking. Global coverage. No API keys required.

About weather-mcp-a2a

Ratnesh-181998/weather-mcp-a2a

MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.

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