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5 days ago
pulsemcp

PAL (Multi-Provider AI)

Unifies access to multiple AI model providers including Google Gemini, OpenAI, Azure OpenAI, X.AI Grok, OpenRouter, and custom endpoints through 15+ specialized tools for code analysis, debugging, planning, consensus building, and workflow automation with intelligent model selection and multi-step workflows.

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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: OPENROUTER_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.
🔐 secretOPENROUTER_API_KEY"": "your-key-here"
configOPENROUTER_ALLOWED_MODELSComma-separated list of allowed models (optional)
configLOG_LEVELLogging verbosity (DEBUG, INFO, WARNING, ERROR)
// 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/yiwenlu66-mu-mcp-g7ip69)](https://m8ven.ai/mcp/yiwenlu66-mu-mcp-g7ip69)
commit: f9a1e2bcbec2afb6c0d903d1c0a697d187c284e0
code hash: 14f0c38c58045299cc736b3dad1d82a3fa408f7ab59dc5ab067875976848393a
verified: 7/26/2026, 8:48:13 AM
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