"Information about Figma" matching MCP servers:

MCP server for downloading images from Figma designs using access tokens. Supports multiple export formats and scale factors via a single tool.

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 extraction of design context from Figma files as CSS-like properties and provides tools to render Figma nodes as images. It integrates with AI agents via the Model Context Protocol to facilitate design-to-code workflows by providing layout, style, and typography information.

Enables interaction with Figma designs through the Figma API, allowing users to export images in multiple formats, extract style data and CSS, analyze design elements, and retrieve SVG code from Figma files. Supports batch operations and comprehensive design element analysis including images, vectors, and components.

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

MCP server for controlling Figma Slides — create, edit, and screenshot slides from any AI assistant that supports MCP.

Enables a locally run agent or script to read and write a real Figma layer tree through a local bridge — inspecting node structure and variables, exporting screenshots into the model's context, and performing batched create/update/move/rename/delete operations that collapse into a single undo step. All traffic stays on localhost between the bridge and the Figma plugin, with design-token auditing, binding, and creation included.

Enables stdio MCP clients such as Cursor and Claude Code to read and modify the currently open Figma Desktop file, export selected nodes as local PNG/SVG files, and create or edit basic canvas nodes using precise layout data for pixel-level reconstruction.

Writes to a live Figma canvas via arbitrary sandboxed JS, returns an auto-framed screenshot in the same call for visual self-checks, and opens a checkpoint on every write so an agent's mistake can be rolled back without touching the human's own edits. Zero npm dependencies, works on the Figma free plan — no paid Dev Mode seat or tool-call quota.

Connects an MCP client such as Claude Code to the Figma file open in the desktop app, letting the agent create frames, write text, apply styles, import images and SVGs, take screenshots, and run arbitrary Figma Plugin API code. Commands travel through a local development plugin instead of Figma's web API, so there are no tokens, quotas, or rate limits.

Enables AI coding tools such as Claude Code and Codex to interact with and modify Figma designs via the Model Context Protocol.

Uploads temporary Figma MCP asset URLs to the CDN after Tinify optimization.

MCP server for the Figma API. Lets AI agents fetch designs, nodes, and rendered images from Figma.

An MCP server that bridges Claude Code to Figma, enabling AI-driven design creation, modification, and export via semantic tools and WebSocket communication.

Generate and edit images with GPT Image 2.5 for $0.029 each, inside Claude, Cursor or any MCP client. A free you.bot API key comes with 50 credits (about 17 images) and needs no card.

thicken turns photos of a real object into a GLB model at its real size and its metadata as JSON, read off the object by vision models and looked up in public catalogs. What it knows about each kind of object lives in a profile: a few come with thicken, and you can add your own.

A read-only MCP server that exposes Tiramisu AI's product information, pricing, and official links to MCP-compatible AI clients.

Enables AI agents to drive 360° cameras by connecting, checking status, reading and changing settings, taking photos, recording video, browsing the gallery, and downloading media as cancellable background jobs, with local stitching and export of 360° footage. It is honest about backend limits, returning structured, explained errors for anything a given camera or connection cannot do.

Enables AI image generation, editing, and composition using Google's Gemini image models (Nano Banana Pro and Nano Banana). Supports text-to-image generation, multi-image composition, flexible aspect ratios, high-resolution output up to 4K, and real-time information grounding.

MCP server that captures short screen recordings as numbered, timestamped still frames and composes them into a single contact sheet returned as image content, letting AI agents reason about motion, animations, and UI transitions instead of inspecting video frame by frame. Also supports single screenshots and listing targetable windows.