# Summarization Functions

> Use this tool when you need to condense lengthy outputs from various actions, such as git operations, to prevent token exhaustion and crashes. It solves the problem of information overload by providing concise summaries, making it ideal for applications where brevity is crucial. The tool takes in detailed output as input and returns a summarized version, streamlining workflows and improving overall efficiency.

Canonical page: https://skillsregistry.net/skills/mcp-summarization-functions  
JSON: https://api.skillsregistry.net/v1/skills/mcp-summarization-functions

## Description

Provides summarised output from various actions that could otherwise eat up tokens and cause crashes.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/mcp-summarization-functions)
- **Repository:** <https://github.com/Braffolk/MCP-summarization-functions#readme>

## 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": "mcp-summarization-functions"
    }
  }
}
```

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