"Fig" matching MCP servers:

Enables bidirectional control between Claude Code and Figma with real-time sync, allowing creation and manipulation of design elements, component management, and document inspection through natural language commands.

Enables AI agents to read and inspect local Figma .fig files entirely offline, exposing document structure, geometry, styles, text, components, variables, and embedded images via MCP tools.

Reads a saved Figma .fig file offline and gives coding agents layout, text, variables, assets, renders and frame bundles, with no Figma app, login or API rate limit.

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 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 AI coding clients to search local .fig/.deck pages and layers, read UX copy and layout specifications, and render frames as SVG or high-resolution PNG for visual context.

Enables MCP clients to inspect and export OpenPencil .fig and .pen files directly from disk, supporting operations like info, tree traversal, XPath queries, linting, and conversion to various formats without the desktop app or CLI.

Enables agents to extract, inspect, search, and bundle design context from local Figma .fig files entirely offline, exposing frame summaries, node context, style tokens, assets, vector SVGs, and visual-match review via MCP.

Enables AI agents to overcome context loops by extracting and packaging code for external AI consultation or automated multi-agent collaboration, with optional ChatGPT Desktop integration.

Enables checking AI-drafted answers to US retirement-account questions, flagging wrong facts, personal recommendations, and promissory claims with IRS or FINRA sources before they reach customers.

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

Enables AI agents to read and draw on Figma canvas safely, with built-in safeguards for layout, overlays, and verification.

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.

CodebaseAgent-MCP is an MCP server that uses a lightweight RAG pipeline to delegate repository analysis to a dedicated OpenAI-compatible LLM, reducing token consumption by having the primary assistant receive only the relevant findings instead of repeatedly scanning the entire codebase.

Enables MCP clients to read design structure, take screenshots, create nodes, and edit UI directly on Figma canvas via a bridge between MCP and Figma Desktop.

figmcp gives your coding agent the Figma file you have open in Figma Desktop. A development plugin streams the file to a server on your machine over localhost, so reads never touch the Figma REST API: no access token, no quota and no rate limits, on any Figma plan. * Design to code: Flutter widgets for Flutter projects, React + Tailwind for everything else, with assets and a scree

Enables AI agents to search EVE Online items, validate ship fits against fitting limits, compute combat stats like DPS and EHP, and retrieve Jita market prices.

MCP server for managing Figma workspaces, providing 102 tools for seats, teams, permissions, billing, file operations, and cleanup, enabling agents to handle admin tasks and everyday design work via natural language.

Converts a Figma file into a React project using Ant Design, AG Grid, ApexCharts, and Tailwind CSS, with optional export of mobile screens as a React Native (Expo) app.

An advanced, AI-powered Model Context Protocol (MCP) server that acts as a comprehensive Growth Auditor, SEO Optimizer, and Code Fixer.