"Figma Context MCP - Searching for Related Information or Tools" matching MCP servers:

An MCP server that gives AI coding tools access to Figma design data for accurate one-shot implementation of designs.

A comprehensive MCP server for Vue component development and Figma design restoration, featuring snapDOM-powered screenshots, pixel-perfect visual comparison, and automated SVG optimization.

Enables conversion of Figma designs into frontend code (React, Vue, HTML, etc.) with high fidelity, including design tokens, assets, and responsive layout. Integrates with AI editors via MCP for a seamless design-to-code workflow.

Enables AI coding agents to read and write a user's Figma file through the Figma Plugin API, offline and privately, without API tokens or rate limits.

Local MCP bridge that exposes the ChatGPT Figma connector to OpenCode without launching Codex, using the existing authenticated session.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

A Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).

Converts Figma design data into structured semantic analysis JSON and screenshots for AI agents to use in design-to-code workflows.

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

A lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.

Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.

Bidirectional MCP bridge enabling AI assistants to draw UI on Figma canvas and read designs back as structured data or code tokens via localhost, requiring Figma Desktop.

Provides read-only Figma design data to AI agents via MCP, supporting local .fig files and browser-based figma.com access without plugins or API tokens.

Enables listing top-level frames in a Figma file and fetching a selected frame's rendered PNG, node JSON, and image-fill map into a local output directory.

Pull a Figma frame once, then let Claude Code, Codex or any MCP agent read it offline with no rate limits. Six read-only tools serve the normalized node tree, design tokens and locally built SVG icons from a vault you can commit, so teammates need no Figma token.

Read, create, and modify Figma designs programmatically via MCP, empowering AI to execute Figma changes safer, cleaner, and faster.

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 an agent to read, edit, and build Figma designs from scratch — including style guides, variables, components, and screens — through a local plugin bridge to the open file's Plugin API, with no Figma token or REST API calls.

Enables offline reading and rendering of Figma .fig files, allowing AI agents to extract design specs, export assets, and generate code without needing the Figma API or network access.

Enables Cursor (MCP client) to interact with an active Figma document through a local WebSocket bridge and Figma plugin, providing tools to read and modify canvas elements like text and frames.