# rlm-tools

> Use this tool when you need to provide AI coding agents with a sandbox environment to explore codebases without overwhelming context. The rlm-tools MCP server solves the problem of excessive context consumption by returning compact summaries, enabling efficient codebase exploration. It takes in codebase inputs and outputs concise summaries, ideal for use cases where AI agents require server-side code analysis and exploration.

Canonical page: https://skillsregistry.net/skills/stefanoshea-rlm-tools  
JSON: https://api.skillsregistry.net/v1/skills/stefanoshea-rlm-tools

## Description

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.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nde9a0yuai)
- **Repository:** <https://github.com/stefanoshea/rlm-tools>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "stefanoshea-rlm-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stefanoshea-rlm-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stefanoshea-rlm-tools/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt