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20 days ago
glama

MCP Agent

A full-stack Agent project built from the JSON-RPC protocol layer to the LLM orchestration layer, featuring a custom ReAct loop engine, dual Provider abstraction, and permission control for Agent scenarios.

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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 3 credentials: ANTHROPIC_API_KEY, OPENAI_API_KEY, OPENWEATHERMAP_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.
configANTHROPIC_MODEL
configOPENAI_BASE_URL
configOPENAI_MODELdeepseek-chat
configLLM_PROVIDER=openai → OpenAI
🔐 secretANTHROPIC_API_KEY=sk-ant-... → Anthropic
🔐 secretOPENAI_API_KEY4. =sk-... → OpenAI
configMCP_SERVER_URL
configMCP_SERVER_COMMAND
🔐 secretOPENWEATHERMAP_API_KEY
// 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 2 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/quarktimes-mcp-agent-13qq1n)](https://m8ven.ai/mcp/quarktimes-mcp-agent-13qq1n)
commit: a3ddc297e35e6e5b6fd0de259676a9b5be3667e5
code hash: 743bd635845e49d1a97e9ebc9b1913d24404ff044ff72b207cd89b556a39e6e8
verified: 7/11/2026, 8:17:17 AM
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