Ratnesh-181998/weather-mcp-a2a

Score: 40.1 Rank #2303

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.

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 #2303 out of 25632 indexed tools.

In the top 9% of all indexed tools.

Ecosystem

Python MIT

Signal Breakdown

Stars 1

Freshness 21d ago

Issue Health 50%

Contributors 0

Dependents 0

Forks 0

Description Detailed

License MIT

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Details

Stars: 1
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 21d ago

Matched Queries

"mcp server""mcp-server"

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