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"Guides and Tools for Converting Figma Designs to Code" matching MCP servers:

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    Enables AI agents to read, inspect, and export Figma designs programmatically. Provides tools for listing components, styles, and exporting assets in various formats.
    Last updated
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    Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993 1. Access all figma pages 2. Access all figma components 3. Access figma prototype flows
    Last updated
    3
    66
    MIT
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    Enables Claude to connect to Figma without a paid plan, offering auto-connect and 100+ tools for document manipulation, design system sync, and code-to-Figma conversion.
    Last updated
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    MIT
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    Enables AI assistants to interact with Figma designs programmatically, supporting comprehensive design automation including text manipulation with formatting preservation, batch operations, prototyping, auto-layout configuration, and component management.
    Last updated
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    MIT
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    Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 58 tools for design automation: styles, variables, components, prototypes, and content.
    Last updated
    73
    1,267
    MIT
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    A comprehensive MCP server that provides AI assistants with tools for file system management, Git integration, and shell command execution. It features specialized code utilities for analysis, formatting, and linting to enhance development workflows within Claude Desktop.
    Last updated
    28
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    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
    3
    27
    Apache 2.0
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    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
    Last updated
    3
    2