Feuse Mcp

Feuse MCP is a purpose‑built Model Context Protocol server that equips web developers with a curated suite of tools for turning design artifacts and API specifications into production‑ready code. By exposing a lightweight HTTP interface, it lets AI assistants such as Claude request high‑level transformations—Figma design‑to‑code, API contract generation, and asset extraction—without the need for custom scripting or manual copy‑pasting. This streamlines the front‑end workflow, reduces human error, and keeps design intent in sync with implementation.

The server solves the recurring pain point of bridging the gap between design, specification, and code. Designers hand off Figma files that often contain rich styling data, while back‑end teams publish Swagger or OpenAPI docs. Developers then have to manually translate these into CSS variables, TypeScript types, and request utilities—a process that is tedious, error‑prone, and hard to keep consistent across projects. Feuse MCP automates these steps, generating TypeScript interfaces, API constants, mock data, and even responsive component code directly from the source artifacts. It also extracts SVG/PNG assets and color tokens, ensuring that visual resources are organized and accessible to the build pipeline.

Key capabilities include:

• Figma Integration – Convert design layers into reusable React or Vue components, auto‑extracting styles and generating PNG placeholders for visual tests.
• API Automation – Parse multiple API documentation formats to produce type‑safe request functions, URL constants, and mock payloads.
• Asset Management – Batch download SVG/PNG assets from Figma, preserving the project’s folder structure for easy import.
• Similarity Comparison – Visually compare rendered pages against original prototypes, providing similarity scores and detailed reports for quality assurance.
• Project Standards – Generate global specification files that configure Copilot or Cursor with project‑specific linting and coding rules.
• Design Tokens – Export color variables into CSS frameworks such as UnoCSS or TailwindCSS, or custom structures for design‑system consistency.

In practice, a front‑end team can use Feuse MCP to spin up a new component library from a Figma file in minutes, automatically generate the necessary TypeScript types for their API layer, and validate that the rendered component matches the prototype. When a new back‑end feature is added, developers can feed the updated OpenAPI spec into the server to refresh all related types and mocks without touching the codebase. The result is a tightly coupled design‑to‑code pipeline that scales with project growth and reduces the cognitive load on developers.

Because it adheres to MCP, Feuse MCP can be seamlessly integrated into existing AI‑driven workflows. Claude or other assistants can invoke its tools via simple JSON payloads, enabling chat‑based code generation that respects the current project context. Its modular design also means developers can cherry‑pick or extend individual tools, ensuring that the server remains lightweight while delivering enterprise‑grade automation.