# F2C Component Retrieval MCP

> F2C Component Retrieval MCP — gu-peach-f2c-component-retrieval-mcp. Use this tool when you need to streamline Figma-to-Code workflows by automating component retrieval and calibration. It solves problems of manual component identification and implementation by retrieving components from Figma designs, screenshots, and a knowledge base, and outputs component contracts and preview implementations. Ideal for use cases requiring efficient design-to-code conversion, such as front-end development and UI implementation.

Canonical page: https://skillsregistry.net/skills/gu-peach-f2c-component-retrieval-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gu-peach-f2c-component-retrieval-mcp

## Description

Enables Figma-to-Code workflows by retrieving and calibrating real-world components from Figma designs, screenshots, and a component knowledge base, outputting component contracts and preview implementations.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i54d735dp2)
- **Repository:** <https://github.com/Gu-Peach/F2C-Component-Retrieval-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": "gu-peach-f2c-component-retrieval-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gu-peach-f2c-component-retrieval-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gu-peach-f2c-component-retrieval-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