
Smart Thinking
Smart-Thinking is an advanced MCP server that provides a multi-dimensional, adaptive, and self-verifiable AI reasoning framework. It uses a graph-based architecture to achieve complex thinking connections, supports cross-platform operation, and is compatible with various MCP clients.
TypeScript
3.6K
2.5 points

Perplexity
The Perplexity MCP Server is a middleware written in Go that provides real-time search and complex reasoning capabilities for AI assistants
Go
3.4K
2.5 points

Task Portal
The task portal system is a self - evolving general problem - solving institution with core components such as logical reasoning, ethical framework, sequential thinking, and meta - framework, which can safely self - evolve and solve complex problems.
3.4K
2.5 points

Retrieval Augmented Thinking
An MCP server that enhances the reasoning ability of AI models and improves problem-solving capabilities through structured retrieval and dynamic thinking chains.
TypeScript
3.5K
2.5 points
Featured MCP Services

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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Gitlab MCP Server
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The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
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Markdownify MCP
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Unity
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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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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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