rlm-mcp-server

Provides recursive language model capabilities to AI assistants, enabling efficient exploration of large contexts through iterative Python code execution.

→ wgthomas/rlm-mcp-server · listed on glama

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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 2 credentials: OPENAI_API_KEY, RLM_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.

🔐 secretOPENAI_API_KEY— sk-xxx docker compose up

🔐 secretRLM_API_KEY— / OPENAI_API_KEY - API key

configRLM_MODEL— RLM_API_BASE=http://host.docker.internal:11434/v1 =llama3.2 docker compose up

configRLM_SUB_MODEL— Same as RLM_MODEL Model for iterations (can be cheaper)

configRLM_MAX_ITERATIONS— 15 Max exploration iterations

configRLM_API_BASE— e =http://host.docker.internal:8080/v1 \

// 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 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

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[![M8ven Score](https://m8ven.ai/badge/mcp/wgthomas-rlm-mcp-server-1fpjq6)](https://m8ven.ai/mcp/wgthomas-rlm-mcp-server-1fpjq6)

commit: 2f6529885c5d834774765b0c3bd7ed998312ca26

code hash: 2008babddfc8c5d8da39fc14173f41104964c1f5b40e386ab26d0c7e853cf590

verified: 6/24/2026, 10:10:35 AM

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