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weather-mcp-a2a MCP Server

Ratnesh-181998/weather-mcp-a2a

Score: 52.9 Rank #1615 MCP Server
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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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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

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 6mo ago

Last commit 6mo ago → stale

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Freshness high impact

Last commit was 203 days ago — a recent commit would boost your freshness score

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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Matched Queries

"mcp server""mcp-server"

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