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Chatty MCP
Chatty MCP is a voice - interactive plugin designed for editors. It can summarize the operation content via voice after completing an AI request, improving the efficiency of multitasking and supporting custom voice engines.
TypeScript
3.6K
2.5 points
Speech MCP
Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, high-quality text-to-speech, multilingual support, and a modern audio visualization interface. It supports multi-character dialogue generation and audio transcription functions.
Python
3.7K
2.5 points
Smart Pet With MCP
An intelligent pet companion application based on the MCP protocol, realizing interaction with virtual pets through voice recognition and natural language processing, and supporting multi - platform operation.
JavaScript
3.8K
2.5 points
Systemprompt
An AI agent server based on the Model Context Protocol, providing system prompt and tool management functions
TypeScript
3.6K
2.5 points
Voicebot MCP Server
This is an MCP server project that provides the function of sending and receiving voice messages via WhatsApp and interacting with the AI client Claude Desktop.
Python
3.5K
2 points
Ten Agent
TEN Agent is a multi-functional AI agent framework that integrates real-time vision, voice recognition, and screen sharing detection capabilities, and supports rapid expansion and development.
Python
3.5K
2 points
Systemprompt MCP Gmail
A Gmail email management server based on the Model Context Protocol (MCP), supporting searching, reading, deleting, and sending emails through an AI agent. It needs to be used with a voice interaction client.
TypeScript
3.8K
2.5 points
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Figma Context MCP
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Unity
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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 It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
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4.7 points