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Superdesign MCP Claude Code
The Superdesign MCP Server is a design coordinator that integrates the open - source Superdesign AI design agent into Claude Code, allowing users to use its advanced design features without an API key. It provides structured specifications through the MCP server, enabling the LLM of Claude Code to perform design tasks. It supports multiple design types such as UI designs, components, and icons, and includes iteration and design system extraction functions.
TypeScript
0
2.5 points

MCP Local Rag
A locally run RAG - style Model Context Protocol (MCP) server for web search. It can provide the latest web information retrieval function for models such as Claude without using an API.
Python
3.9K
2.5 points

Openbnb Org MCP Server Airbnb
Airbnb listing search and detail query service that provides the ability to obtain listing data without an API key, supports multiple search criteria, and detailed listing information parsing.
TypeScript
3.8K
2 points

Perplexity Server Axr
A research - level MCP server implementation that interacts with the Perplexity website without an API key, providing AI - driven research functions such as web search, document query, and API discovery.
TypeScript
3.7K
2 points
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Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
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Unity
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UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
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Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
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Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
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