weather-mcp-a2a MCP Server
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.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Ratnesh-181998/weather-mcp-a2a is a Python MCP server licensed under MIT. 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.
Ranked #1615 out of 25022 indexed tools.
In the top 7% of all indexed tools.
Ecosystem
Score Breakdown
1 stars → early stage
Last commit 6mo ago → stale
No issues filed → no history to score
0 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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