@manansiingh/figma-react-mcp-server
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Alternatives to @manansiingh/figma-react-mcp-server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceConverts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.77MIT
- AlicenseNot gradedqualityBmaintenanceEnables 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.453 npm1MIT
- AlicenseNot gradedqualityDmaintenanceEnables seamless integration with Figma API for extracting design tokens, generating production-ready code in multiple frameworks, capturing screenshots, and managing design assets directly from Figma.5MIT
- AlicenseCqualityDmaintenanceConverts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.315 npm8MIT
- AlicenseAqualityDmaintenanceConverts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.16 npmMIT
- AlicenseNot gradedqualityDmaintenanceConnects Figma designs to React components using your actual component library, enabling AI tools to generate production-ready code with proper imports.1MIT
TDQS
Scored across 3 tools
Each tool targets a distinct output: React component, design tokens, and micro-frontend module. There is no overlap in purpose, so agents can easily select the correct tool.
All tool names follow a consistent verb_noun pattern: generate_react_component, extract_design_tokens, generate_mfe_module. The naming is uniform and predictable.
With 3 tools, the server is tightly scoped to its purpose of Figma-to-code conversion. Each tool covers a distinct and necessary capability without bloat.
The set covers the core workflows: component generation, token extraction, and MFE creation. Minor omissions like asset export or project scaffolding exist, but agents can likely accomplish most tasks with these tools.