# Burn

> Use this tool when you need to efficiently manage a reading list by searching, triaging, archiving, and organizing articles. It solves problems of cluttered and disorganized reading lists, allowing users to easily categorize and prioritize articles. The tool accepts a long-lived access token as input and provides organized article outputs, ideal for use in workflows requiring streamlined content management.

Canonical page: https://skillsregistry.net/skills/fisher521-burn  
JSON: https://api.skillsregistry.net/v1/skills/fisher521-burn

## Description

Burn is a reading list management app. This MCP server exposes 22 tools for AI agents to search, triage, archive, and organize articles in a Burn reading list using a long-lived access token from the Burn App Settings.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/fisher521-burn)
- **Repository:** <https://github.com/fisher521/burn-mcp-server>

## 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": "fisher521-burn"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fisher521-burn` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fisher521-burn/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