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Inspect, edit, export, and author live Figma designs locally.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pholly-figma-mcp" yet — see the docs or source repo.
Connect to the current Figma document and inspect the selected layer’s structure, styles, and component details.
A breakdown of the selected layer hierarchy, style properties, and related component info.
Export the specified icons or image assets from the current Figma design and report the results.
Export results for the requested assets, with a brief description of each.
Review and update variable or component definitions in the current Figma document, keeping naming consistent.
Suggested or applied updates to variables or components.
When designers need to inspect layers, components, or variables in a live Figma file, they can connect directly and review the document in place. It fits iterative UI reviews.
Developers who need to read, edit, or export Figma assets can use the local bridge and WebSocket connection to work with live documents. It suits design-to-code collaboration.
Teams that want access to Figma content without spending REST API requests can use this local-first MCP approach. It interacts through a plugin and server.
It is a local-first MCP bridge for live Figma documents. It supports design inspection, editing, asset export, component authoring, and variable management.
No. The description says it works through a plugin and WebSocket server, without consuming Figma REST API requests.
It is best for collaboration workflows that need direct access to live Figma documents, such as inspecting mockups, exporting assets, and managing components and variables.
Inspect Figma files, export images, and optionally post comments via MCP.
Inspect, export, and modify Figma files through a local MCP bridge.
Connect AI coding agents to an open Figma file without API tokens.
Give AI live access to open Figma files for handoff and UX writing.
Read Figma designs via API to support design-to-code development workflows.
Connect AI to Figma efficiently via a local bridge without quota limits.