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Notion Anki MCP
A tool that automatically converts Notion notes into Anki flashcards through the MCP protocol, integrates OpenAI to optimize content and synchronizes it to Anki in real-time
Python
5.9K
2 points

Anki MCP Server
Implementation of the Anki-MCP Server, providing card review and creation functions
TypeScript
6.0K
3 points

Anki Cards (Clanki)
Clanki is a service that enables AI assistants to interact with Anki flashcards through the MCP protocol. It supports functions such as creating and managing cards, cloze cards, and tags.
TypeScript
7.3K
2.5 points

Mapas Mentais MCP
A dynamic MCP server management service for creating, running, and managing Model Context Protocol (MCP) servers. This project is implemented in Python and can generate six different types of mind maps, suitable for various scenarios such as learning, review, and presentation.
Python
9.4K
2.5 points

MCP Server Factory
A Java - based MCP Server Factory project aiming to help understand and build other MCP servers, providing component understanding, templates, and best practices, adopting high - quality code standards and modular design.
Java
8.2K
2 points
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Notion Api MCP
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A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
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Duckduckgo MCP Server
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The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
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Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
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Unity
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Figma Context MCP
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Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
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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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