# Figma Chunked

> Use this tool when you need to efficiently process large Figma files without memory constraints, breaking down operations into manageable chunks with pagination support. It solves problems of memory overload and slow processing times, providing a scalable interface to the Figma API for designers and developers. The tool accepts file IDs, node types, and memory limits as inputs and outputs file data, version history, comments, and other design elements.

Canonical page: https://skillsregistry.net/skills/archimedes-figma-chunked  
JSON: https://api.skillsregistry.net/v1/skills/archimedes-figma-chunked

## Description

Figma MCP Server with Chunking provides a memory-efficient interface to the Figma API, designed to handle large Figma files by breaking operations into manageable chunks with pagination support. It features configurable memory limits, node type filtering, progress tracking, and resume capabilities for interrupted operations. The implementation includes tools for retrieving file data, listing files, accessing version history, comments, components, styles, and specific nodes, making it particularly valuable for designers and developers who need to programmatically access and analyze complex Figma designs without memory constraints.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/archimedes-figma-chunked)
- **Repository:** <https://github.com/archimedescrypto/figma-mcp-chunked>

## 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": "archimedes-figma-chunked"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/archimedes-figma-chunked` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/archimedes-figma-chunked/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