41
grade D
10 days ago
glama
RLM MCP Server
Enables the analysis of massive datasets by storing data in external variables via a sandboxed Python REPL instead of the model's context window. This allows users to process files larger than 100MB without polluting the context or hitting token limits.
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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.
// 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 2 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
[](https://m8ven.ai/mcp/delonsp-rlm-mcp-server-1owofo)commit: 85554b2c10907e4632857c907b09972fd3626ebe
code hash: fd3a61959ac8541a1c14f9799eef0c064562f765600af20f33ef139cc0e3b47d
verified: 4/11/2026, 3:23:15 PM