Figma Server
Enables seamless interaction with Figma via the Model Context Protocol, allowing LLM applications to access, manipulate, and track Figma files, components, and variables.
TimHolden
Tools
get-file
Get details of a Figma file
list-files
List files in a Figma project
README
Figma MCP Server
A Model Context Protocol (MCP) server that provides integration with Figma's API through Claude and other MCP-compatible clients. Currently supports read-only access to Figma files and projects, with server-side architecture capable of supporting more advanced design token and theme management features (pending Figma API enhancements or plugin development).
Project Status
Current Progress
- ✅ Core Implementation: Successfully built a TypeScript server following the Model Context Protocol (MCP)
- ✅ Claude Desktop Integration: Tested and functional with Claude Desktop
- ✅ Read Operations: Working
get-file
andlist-files
tools for Figma file access - ✅ Server Architecture: Caching system, error handling, and stats monitoring implemented
- ✅ Transport Protocols: Both stdio and SSE transport mechanisms supported
Potential Full Functionality
The server has been designed with code to support these features (currently limited by API restrictions):
- Variable Management: Create, read, update, and delete design tokens (variables)
- Reference Handling: Create and validate relationships between tokens
- Theme Management: Create themes with multiple modes (e.g., light/dark)
- Dependency Analysis: Detect and prevent circular references
- Batch Operations: Perform bulk actions on variables and themes
With Figma plugin development or expanded API access, these features could be fully enabled.
Features
- 🔑 Secure authentication with Figma API
- 📁 File operations (read, list)
- 🎨 Design system management
- Variable creation and management
- Theme creation and configuration
- Reference handling and validation
- 🚀 Performance optimized
- LRU caching
- Rate limit handling
- Connection pooling
- 📊 Comprehensive monitoring
- Health checks
- Usage statistics
- Error tracking
Prerequisites
- Node.js 18.x or higher
- Figma access token with appropriate permissions
- Basic understanding of MCP (Model Context Protocol)
Installation
npm install figma-mcp-server
Configuration
- Create a
.env
file based on.env.example
:
# Figma API Access Token
FIGMA_ACCESS_TOKEN=your_figma_token
# Server Configuration
MCP_SERVER_PORT=3000
# Debug Configuration
DEBUG=figma-mcp:*
- For Claude Desktop integration:
The server can be configured in your Claude Desktop config file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"figma": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/figma-mcp-server/dist/index.js"],
"env": {
"FIGMA_ACCESS_TOKEN": "your_token_here"
}
}
}
}
Important Notes:
- Use ABSOLUTE paths, not relative paths
- On Windows, use double backslashes (\\) in paths
- Restart Claude Desktop after making configuration changes
Usage
Basic Usage
import { startServer } from 'figma-mcp-server';
const server = await startServer(process.env.FIGMA_ACCESS_TOKEN);
Available Tools
-
get-file
- Retrieve Figma file details
{ "name": "get-file", "arguments": { "fileKey": "your_file_key" } }
-
list-files
- List files in a Figma project
{ "name": "list-files", "arguments": { "projectId": "your_project_id" } }
-
create-variables
- Create design system variables
{ "name": "create-variables", "arguments": { "fileKey": "your_file_key", "variables": [ { "name": "primary-color", "type": "COLOR", "value": "#0066FF" } ] } }
-
create-theme
- Create and configure themes
{ "name": "create-theme", "arguments": { "fileKey": "your_file_key", "name": "Dark Theme", "modes": [ { "name": "dark", "variables": [ { "variableId": "123", "value": "#000000" } ] } ] } }
API Documentation
Server Methods
startServer(figmaToken: string, debug?: boolean, port?: number)
- Initializes and starts the MCP server
- Returns: Promise<MCPServer>
Tool Schemas
All tool inputs are validated using Zod schemas:
const CreateVariablesSchema = z.object({
fileKey: z.string(),
variables: z.array(z.object({
name: z.string(),
type: z.enum(['COLOR', 'FLOAT', 'STRING']),
value: z.string(),
scope: z.enum(['LOCAL', 'ALL_FRAMES'])
}))
});
Error Handling
The server provides detailed error messages and proper error codes:
- Invalid token: 403 with specific error message
- Rate limiting: 429 with reset time
- Validation errors: 400 with field-specific details
- Server errors: 500 with error tracking
Limitations & Known Issues
API Restrictions
-
Read-Only Operations
- Limited to read-only operations due to Figma API restrictions
- Personal access tokens only support read operations, not write
- Cannot modify variables, components, or styles through REST API with personal tokens
- Write operations would require Figma plugin development instead
-
Rate Limiting
- Follows Figma API rate limits
- Implement exponential backoff for better handling
-
Cache Management
- Default 5-minute TTL
- Limited to 500 entries
- Consider implementing cache invalidation hooks
-
Authentication
- Only supports personal access tokens
- No support for team-level permissions or collaborative editing
- OAuth implementation planned for future
-
Technical Implementation
- Requires absolute paths in configuration
- Must compile TypeScript files before execution
- Requires handling both local and global module resolution
Contributing
- Fork the repository
- Create a feature branch
- Make your changes with tests
- Submit a pull request
Please follow our coding standards:
- TypeScript strict mode
- ESLint configuration
- Jest for testing
- Comprehensive error handling
License
MIT License - See LICENSE file for details
Troubleshooting
See TROUBLESHOOTING.md for a comprehensive troubleshooting guide.
Common Issues
-
JSON Connection Errors
- Use absolute paths in Claude Desktop configuration
- Ensure the server is built (
npm run build
) - Verify all environment variables are set
-
Authentication Issues
- Verify your Figma access token is valid
- Check the token has required permissions
- Ensure the token is correctly set in configuration
-
Server Not Starting
- Check Node.js version (18.x+ required)
- Verify the build exists (
dist/index.js
) - Check Claude Desktop logs:
- macOS:
~/Library/Logs/Claude/mcp*.log
- Windows:
%APPDATA%\Claude\logs\mcp*.log
- macOS:
For more detailed debugging steps and solutions, refer to the troubleshooting guide.
Support
- GitHub Issues: Report a bug
- Documentation: Wiki
- Discord: Join our community
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
AIO-MCP Server
🚀 All-in-one MCP server with AI search, RAG, and multi-service integrations (GitLab/Jira/Confluence/YouTube) for AI-enhanced development workflows. Folk from
React MCP
react-mcp integrates with Claude Desktop, enabling the creation and modification of React apps based on user prompts
Atlassian Integration
Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.

Any OpenAI Compatible API Integrations
Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more.
MySQL Server
Allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface, making database exploration and analysis safer and more structured.
Browser Use (used by Deploya.dev)
AI-driven browser automation server that implements the Model Context Protocol to enable natural language control of web browsers for tasks like navigation, form filling, and visual interaction.
Aindreyway Codex Keeper
Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.