"Fig" matching MCP servers:

Enables AI coding tools like Cursor to access Figma design data through the Model Context Protocol, allowing accurate implementation of designs across frameworks. Based on NCDS (NHN Commerce Design System) with enhanced source generation capabilities.

Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.

MCP server providing Zig language features (completions, hover info, definitions, references) via integration with the Zig Language Server (zls).

Connects Figma designs to AI agents, enabling extraction of production-ready code, assets, and design tokens through natural language descriptions. Supports React, Vue, CSS, and Tailwind with real-time design system analysis.

MCP server for Apple HIG compliance auditing, providing tools to list skills, search/lookup HIG references, audit files/projects, and explain findings.

Enables scanning Python repos for dead code and automatically drafting a branch + PR for the safe subset (unused single-name imports) after running the repo's full test suite. All other findings are reported without modification, and a human always merges.

CodebaseAgent-MCP is an MCP server that uses a lightweight RAG pipeline to delegate repository analysis to a dedicated OpenAI-compatible LLM, reducing token consumption by having the primary assistant receive only the relevant findings instead of repeatedly scanning the entire codebase.

MCP server that exposes code review tasks from the Fix My Comments VS Code extension to AI agents, enabling them to list, retrieve, reply to, and update task statuses.

Provides Zig language intelligence for Claude Code by wrapping ZLS (Zig Language Server) and exposing 8 tools for diagnostics, formatting, hover info, go-to-definition, references, completions, document symbols, and building.

Provides Zig language tooling and code analysis, enhancing AI capabilities with Zig-specific functions like code optimization, compute unit estimation, code generation, and recommendations for best practices.

Big Indexer provides architecture-aware context (boundaries, seams, impact scope, and BGI-TWIN tools).

Provides LLM-optimized tools for advanced code analysis, repository complexity evaluation, and call graph generation. It enables users to visualize directory structures, detect code patterns, and build semantic context with significant token savings.

An advanced, AI-powered Model Context Protocol (MCP) server that acts as a comprehensive Growth Auditor, SEO Optimizer, and Code Fixer.

Enables persistent storage and semantic search of coding preferences, patterns, and implementations using Mem0, allowing AI agents to remember and retrieve development best practices across sessions.