Smart Thinking
S

Smart Thinking

Smart-Thinking is an advanced MCP server that provides a multi-dimensional, adaptive, and self-verifiable AI reasoning framework.
2.5 points
8.4K

What is Smart-Thinking?

Smart-Thinking is an advanced MCP server based on graphical reasoning, aiming to simulate the human thinking process through complex multi-dimensional connections. It allows users to build highly correlated thinking networks for in-depth analysis and decision support.

How to use Smart-Thinking?

After installation, you can easily start the server via the command line or an integrated client and begin building your thinking network. Simply input the ideas to be analyzed, and the system will automatically handle the subsequent logic.

Use Cases

Suitable for tasks that require complex reasoning, such as project planning, market analysis, or scientific research. Any work that requires in-depth analysis and multi-dimensional connections can benefit from Smart-Thinking.

Main Features

Multi-dimensional Reasoning
Adopts a graphical reasoning model to support complex and multi-dimensional logical connections.
Dynamic Adaptability
Adjusts reasoning requirements according to the context to ensure efficiency and accuracy.
Automatic Visualization Generation
Displays the reasoning process through interactive charts for easy understanding and sharing.
Cross-platform Compatibility
Supports Windows, macOS, and Linux for a seamless experience.
Self-learning Ability
Continuously optimizes the reasoning process through historical data analysis.
Advantages
Powerful multi-dimensional reasoning ability
Cross-platform compatibility
Real-time visualization support
Self-learning and improvement mechanism
Limitations
High requirements for computing resources
The learning curve may be steep

How to Use

Install the Server
Globally install the Smart-Thinking MCP server via npm.
Start the Server
Run smart-thinking-mcp in the command line to start the server.
Create a Reasoning Task
Input the ideas to be analyzed, and the system will generate reasoning results.

Usage Examples

Analyze the Pros and Cons of Energy Transition
Analyze the advantages and challenges of renewable energy through Smart-Thinking.
Verify the Impact of Climate Change
Verify the hypothesis about the impact of climate change.

Frequently Asked Questions

Does Smart-Thinking support multiple languages?
How to solve installation problems?

Related Resources

Official Documentation
Comprehensively understand the functions and usage of Smart-Thinking.
GitHub Repository
View the source code and contribution guidelines.
Video Tutorials
A video series for quickly getting started with Smart-Thinking.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
7.6K
5 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.8K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Health MCP
An MCP server for querying Apple Health data via SQL, implemented based on DuckDB for efficient analysis, supporting natural language queries and automatic report generation.
TypeScript
10.7K
4.5 points
M
MCP Server Airbnb
Certified
MCP service for Airbnb listing search and details query
TypeScript
12.5K
4 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
12.6K
4.3 points
M
MCP Server Weread
The WeRead MCP Server is a lightweight service that bridges WeRead data and AI clients, enabling in - depth interaction between reading notes and AI.
TypeScript
13.2K
4 points
M
MCP Obsidian
This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.
Python
12.8K
5 points
G
Gitlab MCP Server
Certified
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.
TypeScript
16.6K
4.3 points
N
Notion Api MCP
Certified
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.
Python
14.8K
4.5 points
M
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.
TypeScript
24.5K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
44.7K
4.3 points
U
Unity
Certified
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.
C#
20.2K
5 points
F
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.
TypeScript
44.3K
4.5 points
M
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.
Python
30.2K
4.8 points
C
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.
TypeScript
62.4K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase