"Figma" matching MCP servers:

Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993 1. Access all figma pages 2. Access all figma components 3. Access figma prototype flows

Converts Figma designs (frames, components, instances) into inspectable packets and static Unity UGUI YAML prefabs via the Figma REST API, enabling direct design-to-Unity asset generation.

Enables AI agents to read, inspect, and export Figma designs programmatically. Provides tools for listing components, styles, and exporting assets in various formats.

Model Context Protocol integration for the Figma API, enabling AI applications to access Figma files, components, and design tokens.

Enables automated export, compression, and cloud upload of Figma design assets by simply providing Figma links. Supports batch processing of nodes and children, returning structured data with publicly accessible image URLs.

Provides Figma design context to AI agents, enabling code generation, design system integration, and canvas manipulation through MCP.

Enables developers to extract and organize Figma design files, including complete node data (tree structure and images) for AI understanding and code generation.

A Python implementation of the Model Context Protocol server that enables AI assistants to interact with Figma through WebSocket connections, allowing them to read, analyze, and export design data.

Enables Claude to interact with Figma designs, convert designs to code, extract variables, get screenshots, and more.

Connects IDE to Figma Desktop App, enabling AI assistants to generate and manipulate layouts, shapes, and designs directly inside the Figma canvas.

Enables interaction with Figma tools and services through a standardized MCP interface.

Enables seamless integration with Figma API for extracting design tokens, generating production-ready code in multiple frameworks, capturing screenshots, and managing design assets directly from Figma.

An MCP (Multi-Agent Conversation Protocol) Server that enables interaction with the Figma REST API, auto-generated using AG2's MCP builder.

A Python-based MCP server that enables users to view, search, and edit Figma files and Notion documents through natural language commands. It features specialized tools for automated Figma design generation from text descriptions and integrated project tracking across Figma, Notion, and Asana.

Enables management of structured prompt assets from Figma, including listing, validating, and exporting prompts via the Model Context Protocol.

Caches Figma file data locally and provides an MCP server for AI agents to search and retrieve design nodes efficiently, minimizing API calls.

AI 規格大師 — MCP server bridging specs (Linear / JIRA / GitHub Issues / Notion / Markdown / Figma) to tests, with bidirectional traceability and a spec-quality coach. Sibling to mk-qa-master.

Sigma detection rule writing, validation, and pySigma-based multi-backend conversion (Splunk, Elastic, Wazuh, Kibana) via 3 MCP tools and 3 Claude Code skills, backed by a 61-rule production corpus across 11 MITRE ATT\&CK tactic categories.

A deterministic MCP server that guards AI/agent output by detecting secrets, injection, and PII in ~85µs with zero dependencies. Gives a clear ship/block verdict and runs locally or hosted.

Provides 8 MCP tools for frontend design: load design system, generate components, scaffold pages, review consistency, extract tokens, check WCAG 2.2 AA, test responsiveness, and export to Figma.