What runtime does Tianji Thinking Models require?
It requires Node.js 18+ and TypeScript 4.9+, with MCP Protocol 1.11+ and Zod 3.24+.
@lanyijianke
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"thinking-models": {
"command": "npx",
"args": [
"--yes",
"--no-cache",
"@thinking-models/mcp-server@latest"
]
}
}
}获取指定语言的思维模型列表,支持按分类过滤
在指定语言的思维模型中根据关键词进行文本搜索
基于问题关键词推荐适合解决特定问题的思维模型
获取思维模型的详细信息或特定字段
获取所有思维模型的分类信息
获取与特定思维模型相关的模型推荐
解释模型的推理过程和应用的思维模式
交互式推理过程,允许动态获取额外信息
为问题生成多个假设并提供验证方法
统计当前思维模型的总数
记录用户对思维模型使用体验的反馈
检测用户查询中的知识缺口
获取思维模型的使用统计数据
分析思维模型学习系统的总体状况
获取思维模型MCP服务器的版本和状态信息
创建新的思维模型并添加到系统中,用于填补知识缺口
更新现有思维模型的内容
通过组合现有思维模型的关键概念和特性来创建新的思维模型
新手入门指南,帮助用户了解思维模型工具体系和建议使用流程
Tianji Thinking Models is an MCP server that integrates hundreds of thinking models, frameworks, and methodologies to help users think more systematically about problems. It enables AI assistants to access these tools through the Model Context Protocol (MCP) and apply structured thinking methods during conversations.
The server requires Node.js 18+ and TypeScript 4.9+. After installation, configure it as an MCP server to connect AI assistants, then use its 20+ tools for exploring, recommending, interactively reasoning, and creating thinking models. Supported languages are Chinese (zh) and English (en).
It requires Node.js 18+ and TypeScript 4.9+, with MCP Protocol 1.11+ and Zod 3.24+.
The server supports Chinese (zh) and English (en) for all tool interactions and model data.
Yes, the server provides create-thinking-model, update-thinking-model, emergent-model-design, and delete-thinking-model tools for custom model creation and management.
Yes, the record-user-feedback tool allows users to provide feedback on model experiences, and the recommendation system can apply learning adjustments (controlled by the use_learning_adjustment parameter).
The server contains hundreds of thinking models across multiple categories and subcategories; the total count can be retrieved via the count-models tool.
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