# Figma Context MCP

> Use this tool when you need to enhance Figma design integration and improve AI-assisted design-to-code conversion accuracy. It solves problems of spatial relationship understanding and design interpretation by adding element position information to API responses. Ideal for use cases where precise design translation is crucial, such as UI development and automated coding workflows.

Canonical page: https://skillsregistry.net/skills/tianmuji-figma-context-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tianmuji-figma-context-mcp

## Description

A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.

## 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:** api-integration
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pyeddyhp7v)
- **Repository:** <https://github.com/tianmuji/Figma-Context-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": "tianmuji-figma-context-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tianmuji-figma-context-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tianmuji-figma-context-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
