"Resources and Tools for Frontend Development (e.g., Jira, Figma, GitHub)" matching MCP servers:

Provides AI assistants with frontend development tools including component scaffolding, bundle analysis, accessibility checks, and responsive design guidance. Enables automated generation of React components with tests and stories, bundle optimization recommendations, and WCAG compliance fixes.

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.

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

Provides AI-powered tools for UX/UI review, web component generation, and code refactoring using Google Gemini.

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.

Transforms design inputs (URLs, screenshots, descriptions) into production-ready React components following G2's Elevate 2.0 design system, providing both an MCP server for Claude Code and a web interface.

Provides 8 MCP tools for frontend design: load design system, generate components, scaffold pages, review consistency, extract tokens, check WCAG 2.2 AA, test responsiveness, and export to Figma.

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

Model Context Protocol integration for the Figma API, enabling AI applications to access Figma files, components, and design tokens.

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

Read-only Figma MCP server that enables design-to-code workflows by talking to the Figma REST API with a personal access token, for use with Claude Code and GitHub Copilot.

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

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.

An MCP server that lets AI agents drive FigJam boards through a local Figma plugin, bypassing API rate limits with 19 tools for reading, writing, and editing FigJam content.

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

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

Local-first MCP server that connects AI coding agents to the currently open Figma file through a local plugin bridge, requiring no Figma API token.

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.

Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 58 tools for design automation: styles, variables, components, prototypes, and content.