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8 days ago
glama

remote-mcp

Enables building and running MCP servers over streamable HTTP, exposing tools to AI assistants like Cursor, with examples of mounting multiple servers in FastAPI.

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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/mo3tssem-remote-mcp-1gnga3)](https://m8ven.ai/mcp/mo3tssem-remote-mcp-1gnga3)
commit: 8a59c25a9078b1c2a0f9da90bf289058fa058d44
code hash: 1fbaf2034a761ea36d019b7e8e091cb488f3a6ac9141c4f43ec7dfcff1753c44
verified: 6/24/2026, 9:51:59 AM
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