# Chunky MCP

> Use this tool when you need to handle oversized data responses that would otherwise fail due to size limitations. Chunky MCP solves the problem of managing large responses by chunking and reading data, enabling tools to process big data successfully. It takes large data responses as input and outputs manageable chunks, making it ideal for use cases involving massive data transfers or processing.

Canonical page: https://skillsregistry.net/skills/ebwinters-chunky-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ebwinters-chunky-mcp

## Description

An MCP server that manages chunking and reading of large responses, allowing tools to handle oversized data that would otherwise fail.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vrovg0p6li)
- **Repository:** <https://github.com/ebwinters/chunky-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": "ebwinters-chunky-mcp"
    }
  }
}
```

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