Lawrence's Personal MCP Server
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- FlicenseAqualityDmaintenanceProvides 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.6-
- AlicenseAqualityDmaintenanceConverts Figma designs into production-ready React components with design token extraction, widget registry integration, and micro-frontend module generation.356 npm1MIT
- AlicenseBqualityDmaintenanceEnables interaction with Figma files through tools that list projects/files, fetch design data, and generate React+Vite frontend code directly from Figma frames.41,772 npmMIT
- FlicenseAqualityDmaintenanceSyncs design tokens and components from Figma to a Design System codebase, enabling automated generation of React components and Storybook stories.5-
- 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
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TDQS
Scored across 8 tools
Each tool targets a distinct step in a design-to-code workflow, and the Figma, a11y, and codegen prefixes help separate concerns. However, figma_extract_design_tokens vs codegen_design_tokens and a11y_audit_component vs a11y_suggest_improvements are close enough that an agent might occasionally pick the wrong one.
All tools follow a consistent snake_case verb_noun naming pattern within their respective domains, such as figma_get_file, a11y_audit_component, and codegen_react_component. The prefixes are predictable and group related functionality clearly.
Eight tools is a well-scoped count for a server covering Figma access, accessibility auditing, and code generation. Each tool serves a distinct purpose, and the set feels neither bloated nor thin.
The tool surface covers the full intended workflow: fetching and searching Figma data, extracting design tokens, auditing components, generating components, and producing design token output. There are no obvious dead ends or critical missing operations for the apparent design-to-code purpose.