# RLM Knowledge Base

> Use this tool when you need to quickly search and access local documents with precision, solving information retrieval and document management problems. The RLM Knowledge Base takes in document files as input and outputs relevant search results via full-text and fuzzy search, enabling efficient access to indexed files. Ideal for use cases where rapid document retrieval and reading are crucial, such as research, data analysis, or knowledge management tasks.

Canonical page: https://skillsregistry.net/skills/cgaeking-rlm-connector  
JSON: https://api.skillsregistry.net/v1/skills/cgaeking-rlm-connector

## Description

An MCP server that enables Claude Desktop to search and read local documents via full-text and fuzzy search, providing direct access to indexed files without chunking.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o0nuvsctw7)
- **Repository:** <https://github.com/cgaeking/rlm-connector>

## 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": "cgaeking-rlm-connector"
    }
  }
}
```

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