Stream MCP

Enables deployment of MCP servers over HTTP, providing ready-to-use tools for text processing, math calculations, and social media content generation, accessible to AI assistants like GitHub Copilot and Claude.

→ ai-engineer-devansh-singh/stream_mcp · 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: TAVILY_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.

🔐 secretTAVILY_API_KEY

configPORT

// 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/ai-engineer-devansh-singh-stream-mcp-mi5nb1)](https://m8ven.ai/mcp/ai-engineer-devansh-singh-stream-mcp-mi5nb1)

commit: 7d6823ea9ec779bab24d63aa3290d990a2d50ec0

code hash: 7de250275973074621a5d01a6a3c9f52e83029a39e4dc208a3a9a4c8773346dc

verified: 6/21/2026, 10:26:24 AM

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