# RLM-MCP

> Use this tool when you need to process long texts or documents that exceed traditional language model limits. The RLM-MCP enables large language models (LLMs) to handle arbitrarily long contexts, solving issues with text truncation and information loss. It accepts long documents as input and outputs processed text chunks, making it ideal for applications requiring in-depth analysis or understanding of lengthy texts.

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

## Description

Implements the Recursive Language Model pattern, enabling LLMs to process arbitrarily long contexts through session-based document management, on-demand chunking, BM25 search, and artifact storage.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zi3j06pkj8)
- **Repository:** <https://github.com/adrianwedd/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": "adrianwedd-rlm-mcp"
    }
  }
}
```

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