Fetches design context for a Figma node, returning reference code, assets, screenshot, and variables for Flutter, HTML, or React design-to-code workflows.
Audit a Figma or Penpot design export against your contract, recovering screen/state from frame names and reporting missing or unmapped screens and states.
Enables AI agents to remotely operate visual design tools via MCP protocol, with composable architecture for image processing, file operations, and workflow automation.
Enables multi-AI collaborative analysis by proxying requests to existing login-based MCP servers (Gemini CLI and Codex CLI) from Claude Desktop or Claude Code.
Compare a design against a rendered implementation and get structured discrepancies. Provide a Figma URL, design image, or component description to produce a report of visual differences.
Compare Figma design tokens with code-side tokens to identify matching, missing, and divergent values. Pinpoint design-code gaps for accurate parity analysis.
Need the official rules for a platform design system? Fetch complete references for Material 3, Apple HIG, and more—including specs, do/don'ts, and examples—to ground your UI in the authoritative baseline.
Generate a design system rule sheet from the current Figma file, aggregating color tokens, typography styles, variables, and components into a single markdown block for AI context.
Validate and compile a strict JSON design document into Figma, supporting overlapping absolute-positioned nodes and local image assets. Rejects unknown fields; use dryRun to test without altering Figma.
Retrieve an XML document outline for a Figma design file, listing node IDs, layer names, types, positions, and sizes. Use it to explore unfamiliar files before requesting design context.
Convert a Figma frame into the design spec designfit_validate expects. Provide a Figma link or fileKey plus nodeId, or paste raw node data; returns design, componentMap, and viewport.
Generates a design system rule sheet from the current Figma file, aggregating color tokens, typography styles, variables, and components into a single markdown block for AI context.
Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.