43
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17 days ago
glama

Mnevis MCP Server

A lightweight, zero-dependency Python MCP server that exposes a single do_everything tool. Any AI agent that supports MCP can use it to offload all language-model work to a local OpenAI-compatible endpoint, reducing cost on the agent's primary LLM.

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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.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 1 credential: MNEVIS_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.
configMNEVIS_URL"": "http://localhost",
configMNEVIS_PORT11434 Port the LLM server listens on
configMNEVIS_MODELllama3 Model name to pass in the request
🔐 secretMNEVIS_API_KEY_(empty)_ Optional API key (sent as Bearer token)
// 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 1 concrete improvement 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/mar-co-za-mnevis-mcp-3vim75)](https://m8ven.ai/mcp/mar-co-za-mnevis-mcp-3vim75)
commit: 7810b5725404406c29d9500b9a09f1a09fe14dc8
code hash: 8c18a01ec3249af40229ac62e416a4789ba9aafd4b0e01cb88062f8bb306c1ee
verified: 7/14/2026, 8:31:14 AM
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