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15 days ago
glama

multi-cloud-llm-platform

Exposes multiple LLM providers (AWS Bedrock, OpenAI, Google Gemini, local Ollama) as MCP tools with automatic routing by task type and Prometheus metrics, enabling any MCP-compatible client to generate text, route prompts, and list providers.

→ ariz-ahmad/multi-cloud-llm· listed on glama
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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: GOOGLE_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.
🔐 secretGOOGLE_API_KEY— Low-cost tier (gemini-flash-vertex): requires export =<your-google-ai-studio-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 4 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/ariz-ahmad-multi-cloud-llm-wyeu7b)](https://m8ven.ai/mcp/ariz-ahmad-multi-cloud-llm-wyeu7b)
commit: bb71662cd408d89116f8c22b93391991049ddb09
code hash: 0d5af0ff57888da47f3ddea8764cc5deee8ed6f0d592dd526bd100eff93b6e49
verified: 7/16/2026, 8:40:26 AM
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