Figma MCP Server With Chunking
An MCP server for the Figma API, with memory - efficient chunking and pagination functions, designed specifically for processing large Figma files.
rating : 2.5 points
downloads : 9
What is the Figma MCP Server?
The Figma MCP Server is a server specifically designed for the Figma API. It provides the ability to efficiently access and process Figma files. Through intelligent chunking and pagination techniques, it can easily handle large design files without causing memory overload.How to use the Figma MCP Server?
You can access Figma file data through simple API calls. The server will automatically split large files into small chunks for processing and provide pagination functionality, allowing you to gradually retrieve data.Use cases
It is particularly suitable for design teams that need to process large Figma files, developers who need to analyze design systems, and platform developers who build design collaboration tools.Main features
Intelligent memory managementAutomatically monitor memory usage to prevent memory overflow when processing large files
Data chunking processingSplit large Figma files into small chunks for processing to improve processing efficiency
Pagination supportAll list operations support pagination, facilitating the handling of large amounts of data
Node type filteringFilter data by node type (e.g., FRAME, COMPONENT)
Progress trackingDisplay the processing progress in real - time to understand the task execution status
Resume from breakpointSupport resuming processing from the last interrupted position
Advantages and limitations
Advantages
Efficiently process large Figma files without causing memory shortage
Flexible chunking and pagination settings to meet different needs
Detailed error handling and debugging information for easy problem troubleshooting
Support resuming from breakpoints to save time and resources
Limitations
Requires a Figma API access token to use
May require multiple requests when processing extremely large files
Some advanced features require certain configuration experience
How to use
Install the server
Install the server automatically via Smithery or manually
Configure the access token
Set the FIGMA_ACCESS_TOKEN environment variable or provide it through a configuration file
Start the server
Run the server and start processing requests
Send API requests
Use the provided tool methods to access Figma data
Usage examples
Get data of a large design fileWhen you need to process a large design file containing hundreds of artboards, use the chunking function to gradually retrieve data
Analyze design system componentsRetrieve only nodes of the COMPONENT type to analyze the usage of components in the design system
Resume an interrupted taskWhen processing a large file is interrupted, use the cursor to resume from the last stopped position
Frequently Asked Questions
How to get a Figma API access token?
What should I do if I encounter a memory shortage error when processing large files?
How to retrieve only nodes of a specific type?
What Figma API functions does the server support?
How to debug server issues?
Related resources
Official Figma API documentation
Complete reference documentation for the Figma API
Smithery platform
Installation and management platform for the MCP server
GitHub repository
Project source code and issue tracking
Featured MCP Services

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
97
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
150
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
838
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
573
5 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points