rlm-tools

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

→ stefanoshea/rlm-tools · 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.

✅

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: ANTHROPIC_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.

configRLM_EVAL_APP_ROOT

configRLM_EVAL_PACKAGE_ROOT

configRLM_EVAL_TESTS_ROOT

🔐 secretANTHROPIC_API_KEY— Required for llm_query() only. Uses Anthropic's API (Claude).

configRLM_SUB_MODEL— claude-haiku-4-5-20251001 Claude model used for llm_query()

configRLM_MAX_SESSIONS— 5 Max concurrent sessions

configRLM_SESSION_TIMEOUT— 10 Session timeout in minutes

// 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/stefanoshea-rlm-tools-1d350p)](https://m8ven.ai/mcp/stefanoshea-rlm-tools-1d350p)

commit: 81c106242398af22aba2d4db0baa0ddcddd93c32

code hash: 78bf97ce6b57709383cc7e746781b947606125a1efbae40c7f6667586deda5dc

verified: 6/21/2026, 10:21:37 AM

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