# Lean Reader

> Use this tool when you need to simplify web content for large language models (LLMs) by converting URLs into clean text, minimizing tokens and reducing costs. It solves the problem of inefficient text processing by providing a concise output with a receipt of token and cost savings. Ideal for applications where LLMs require optimized text input, such as text analysis, summarization, or generation tasks.

Canonical page: https://skillsregistry.net/skills/aimento-lean-reader  
JSON: https://api.skillsregistry.net/v1/skills/aimento-lean-reader

## Description

MCP server that converts URLs into token-minimized clean text for LLMs, providing a receipt of token and cost savings.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fycrhud3dq)
- **Repository:** <https://github.com/AIMento/lean-reader>

## 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": "aimento-lean-reader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aimento-lean-reader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aimento-lean-reader/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