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

A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

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 AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

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.

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

Enables AI coding agents to access Figma design data by fetching and simplifying layout and styling metadata. This allows developers to accurately implement UI designs in code directly from Figma file links.

MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.

An MCP server that gives AI coding agents access to Figma design data, enabling pixel-perfect implementation of designs through structured data extraction, image downloads, and design token retrieval.

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.

An MCP server that provides cached, refreshable, and structured Figma context for AI coding assistants, reducing API calls and latency by storing node responses locally.

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.

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

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

Enables AI coding tools like Cursor to access Figma design files and metadata, allowing accurate one-shot implementation of designs in any framework by providing simplified layout and styling information from the Figma API.

Enables interaction with Figma design files with local caching to reduce API requests and rate limits, allowing faster and more reliable retrieval of design data for AI tools.

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

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