69
/ 100
18 days ago
glama

Salyut

Fans out queries to multiple independent free LLMs from different providers and returns their answers side by side, enabling sanity-checking of decisions or getting multiple perspectives during coding sessions.

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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.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configCONSULT_SERVER_URL
configCONSULT_ENV_FILE
configCONSULT_CEREBRAS_MODELThe roster — edit DEFAULT_ROSTER / FULL_ROSTER in consult/core.py. Each model is also overridable by env var (e.g. ).
configCONSULT_GLM_MODEL
configCONSULT_GROQ_MODEL
configCONSULT_GEMINI_MODEL
configCONSULT_MISTRAL_MODEL
configCONSULT_LLAMA_MODEL
configCONSULT_HOSTWhere it listens — / CONSULT_PORT (defaults 0.0.0.0:8000).
configCONSULT_PORTWhere it listens — CONSULT_HOST / (defaults 0.0.0.0:8000).
// 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 5 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/xenarathon-salyut-6pmolr)](https://m8ven.ai/mcp/xenarathon-salyut-6pmolr)
commit: d449ea9020418accf0549a2f4e38bbb1baae7627
code hash: e07a63c5e47dfe621a431de5c8629035e68f3fc696c36a53f5d54bd3311211c9
verified: 7/13/2026, 9:50:34 AM
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