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Prerequisites Before you begin, create an account and get your API Key.

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Getting started

Connect to Figma to access design files, manage assets, retrieve comments, and collaborate on design projects through AI agents.
  • API
  • UI
  • Open Source
1

Install the SDKs (optional)

pip install klavis
2

Create a Strata MCP Server with Figma

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="YOUR_API_KEY")

response = klavis_client.mcp_server.create_strata_server(
    servers=[McpServerName.FIGMA],
    user_id="user123"
)

API Reference

Full Strata API endpoints
3

Authenticate

import webbrowser

# Open OAuth authorization page
webbrowser.open(response.oauth_urls[McpServerName.FIGMA])
🎉 Your Figma MCP Server is ready! Once authentication is complete, you can use your MCP server URL with any MCP-compatible client.

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Available Tools

Tool NameDescription
get_file_contentRetrieve content and data from a specific Figma file
list_filesList accessible Figma files in a project or team
create_componentCreate a new component in a Figma file
export_designsExport designs or assets from a Figma file
get_commentsRetrieve comments from a Figma file
For more details about tool input schema, use the get_tools API.

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Next Steps

White-label Authentication

Customize OAuth flows with your own branding

AI Platform Integrations

Integrate Klavis MCP Servers with leading AI platforms

Integrations

Explore available MCP servers

API Reference

REST endpoints and schemas
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