Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

4,703 servers. Last updated -

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    Enables Cursor to access Figma files through the Model Context Protocol, enhancing its ability to accurately interpret and utilize design data for code generation.
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    Enables AI assistants to interact with Figma files through the ModelContextProtocol, allowing viewing, commenting, and analyzing Figma designs directly in chat interfaces.
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    A TypeScript server that implements the Model Context Protocol, enabling AI-powered design creation in Figma using natural language prompts through Cursor Agent.
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    A Model Context Protocol server for interacting with the Figma API that handles large Figma files efficiently through memory-aware chunking and pagination capabilities.
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    Enables seamless interaction with Figma via the Model Context Protocol, allowing LLM applications to access, manipulate, and track Figma files, components, and variables.
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    A Model Context Protocol server that provides access to Figma API functionality, allowing AI assistants like Claude to interact with Figma files, comments, components, and team resources.
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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
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    An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.
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    Enables users to control the cursor in Figma through verbal commands using an agentic AI agent, streamlining the design process with a new interaction method.
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    Facilitates the analysis of Figma file structures by extracting node hierarchies, accessible via REST API or MCP protocol.
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    A Model Context Protocol server that integrates Figma design files with AI coding tools like Cursor, Windsurf, and Cline, allowing AI tools to access and understand Figma design data for generating more accurate code.
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    A Model Context Protocol (MCP) server that enables Claude to create and manipulate designs in Figma through either a Figma plugin or directly via the Figma API.
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    Implements a Model Context Protocol integration between Cursor AI and Figma, allowing Cursor to programmatically read and modify Figma designs.
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    A Model Context Protocol server that integrates with Figma's API, allowing interaction with Figma files, comments, components, projects, and webhook management.
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    A bridge between Figma designs and React implementations that enables pixel-perfect conversion of Figma designs into React applications by processing Figma file data into React-friendly format.
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    Figma MCP with full API functionality
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    A tool that integrates Figma with Cursor through the Model Context Protocol, allowing users to retrieve, optimize, and convert design data from Figma files into structured CSS and design tokens.
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    Gives AI-powered coding tools like Cursor, Windsurf, and Cline access to Figma design files, enabling more accurate code generation directly from Figma designs.
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    Converts Figma designs into React components with TypeScript and Tailwind CSS by extracting components from Figma files and transforming them into ready-to-use code.
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    Converts Figma designs to React Native components, allowing users to extract components from Figma designs and generate corresponding React Native components with proper typing and styling.
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    A server implementation that enables interaction with Figma API through Model Context Protocol (MCP), supporting plugin and widget development with WebSocket communication capabilities.
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    Provides code context and analysis for AI assistants by extracting directory structures and code symbols using WebAssembly Tree-sitter parsers with zero native dependencies.
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    A Model Context Protocol server that connects AI tools and LLMs to Figma designs, enabling them to extract design data, analyze design systems, and generate development documentation.
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    Share code context with LLMs via MCP or clipboard
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    Enables Cursor AI to interact with Figma designs, allowing users to read design information and programmatically modify elements through natural language commands.
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    Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi
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    A Model Context Protocol (MCP) server designed to easily dump your codebase context into Large Language Models (LLMs).
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    An MCP server implementation that maximizes Gemini's 2M token context window with tools for efficient context management and caching across multiple AI client applications.
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    This server provides an API to query Large Language Models using context from local files, supporting various models and file types for context-aware responses.
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    A Model Context Protocol server that transforms text into structured JSON data using templates with placeholders.
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    A server that leverages Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, offering tools for fetching pages, searching documentation, extracting structured content, and summarizing content.
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