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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
[![M8ven Score](https://m8ven.ai/badge/mcp/delonsp-rlm-mcp-server-1owofo)](https://m8ven.ai/mcp/delonsp-rlm-mcp-server-1owofo)
commit: 055a7f7249c7f00067d793e19df3cdbb36848a32
code hash: 82788ae7d67d06e2648c75e3fbbe682d618af9638d3bdbc77e656734126fec42
verified: 6/13/2026, 10:38:44 AM
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