# rlm-mcp

> Use this tool when you need to analyze and understand complex project architectures, and transform your local repository into a shared knowledge base. It solves problems related to project comprehension, knowledge sharing, and architecture analysis by using recursive reasoning and local Large Language Models (LLMs). The tool takes in local repository data as input and outputs a shared project brain with analyzed and reasoned project architecture.

Canonical page: https://skillsregistry.net/skills/borinquenkid-rlm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/borinquenkid-rlm-mcp

## Description

Transforms your local repository into a shared project brain using recursive reasoning and local LLMs to analyze, reason, and remember project architecture.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-10

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zx0nz1jtei)
- **Repository:** <https://github.com/borinquenkid/rlm-mcp>

## 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": "borinquenkid-rlm-mcp"
    }
  }
}
```

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