lanyijianke/thinking_models_mcp
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Toolbox for intelligent thinking: Integrating systematic thinking methods into your problem-solving process
概要
Toolbox for intelligent thinking: Integrating systematic thinking methods into your problem-solving process "Tianji" is a powerful thinking model MCP server that integrates hundreds of thinking models, frameworks, and methodologies to help users think more systematically and comprehensively about problems. Through the MCP (Model Context Protocol) interface, AI assistants can access these thinking tools and seamlessly apply structured thinking methods to conversations. The name "Tianji" originates from the ancient Chinese saying "Heaven's secrets must not be revealed," implying that it helps users uncover deeper patterns of thinking and wisdom.
README
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“Tianji” — Thinking Models MCP Server
Toolbox for intelligent thinking: Integrating systematic thinking methods into your problem-solving process
Table of Contents
- What is “Tianji”?
- Core Features
- Tools Overview
- Tool Function Parameters and Return Values
- Use Cases
- Quick Start
- Configuration Guide
- Developer Documentation
- License
What is “Tianji”?
“Tianji” is a powerful thinking model MCP server that integrates hundreds of thinking models, frameworks, and methodologies to help users think more systematically and comprehensively about problems. Through the MCP (Model Context Protocol) interface, AI assistants can access these thinking tools and seamlessly apply structured thinking methods to conversations. The name “Tianji” originates from the ancient Chinese saying “Heaven’s secrets must not be revealed,” implying that it helps users uncover deeper patterns of thinking and wisdom.
Core Features
- Rich Library of Thinking Models: Contains classic thinking models across multiple domains including decision theory, systems thinking, and probabilistic thinking
- Intelligent Model Recommendations: Automatically recommends the most suitable thinking models based on problem characteristics
インストール
npx --no-cache // Avoid using cached versions ensure using the latest version
"@thinking-models/mcp-server" // npm package name
// If you need to specify version: "@thinking-models/mcp-server@latest設定
{
"mcpServers": {
"tianji": { // "Tianji" server name
"command": "node",
"args": [
"e:\\thinking_models_mcp\\build\\thinking_models_server.js" // Replace with your actual path
]
}
}
// ... other configurations ...
}