67
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1 month ago
glama

Multi-Agent MCP Server

Provides 7 tools for weather (geocoding, current conditions) and country data (capital, currency, population, dial code, flag) via Open-Meteo and CountriesNow APIs, designed for multi-agent AI systems.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: FOOTBALL_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configMCP_URL│ ├── agent_config.py # MCP client + prefix map (reads from env)
🔐 secretFOOTBALL_API_KEYyour football-data.org key (needed by the World Cup tools)
configPORT│ └── server.py # FastMCP server: 7 tools + /health, reads $
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/jamalla-multi-agent-mcp-1r49ip)](https://m8ven.ai/mcp/jamalla-multi-agent-mcp-1r49ip)
commit: cfff9301da3b454afa89d171039e02cd63ec46a8
code hash: 714b59c1f112d242a8c2fd291dbddc07f6f45086c8be2b808d3e37894d0225b2
verified: 7/1/2026, 10:02:28 AM
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