Enhanced Sequential Thinking Server

Enhanced Sequential Thinking Server

Contribute to lnehc/mcp-sequential-thinking development by creating an account on GitHub.

数字笔记管理
远程shell执行
高级AI推理
访问服务器

README

Enhanced Sequential Thinking MCP Server

This project implements an advanced Sequential Thinking server using the Model Context Protocol (MCP). It provides a structured and flexible approach to problem-solving and decision-making through a series of thought steps, incorporating stages, scoring, and tagging.

<a href="https://glama.ai/mcp/servers/m83dfy8feg"><img width="380" height="200" src="https://glama.ai/mcp/servers/m83dfy8feg/badge" alt="Sequential Thinking Server MCP server" /></a>

Features

  • 🧠 Structured Problem Solving: Break down complex problems into defined stages
  • 📊 Progress Tracking: Monitor thought sequences, branches, and revisions
  • 🏷️ Thought Categorization: Tag and score thoughts for better organization
  • 📈 Dynamic Adaptation: Adjust the thinking process as new insights emerge
  • 📝 Summary Generation: Get an overview of the entire thinking process

Prerequisites

Project Structure

mcp-sequential-thinking/
├── mcp_sequential_thinking/
│   ├── server.py
│   └── __init__.py
├── README.md
└── pyproject.toml

Quick Start

  1. Set Up Project

    # Create and activate virtual environment
    uv venv
    .venv\Scripts\activate  # Windows
    source .venv/bin/activate  # Unix
    
    # Install package and dependencies
    uv pip install -e .
    
  2. Run the Server

    cd mcp_sequential_thinking
    uv run server.py
    

Claude Desktop Integration

Add to your Claude Desktop configuration (%APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\path\\to\\your\\mcp-sequential-thinking\\mcp_sequential_thinking",
        "run",
        "server.py"
      ]
    }
  }
}

API

The server exposes two main tools:

1. sequential_thinking

This tool processes individual thoughts in the sequential thinking process.

Parameters:

  • thought (str): The content of the current thought
  • thought_number (int): The sequence number of the current thought
  • total_thoughts (int): The total number of thoughts expected
  • next_thought_needed (bool): Whether another thought is needed
  • stage (str): The current stage of thinking (Problem Definition, Analysis, Ideation, Evaluation, Conclusion)
  • is_revision (bool, optional): Whether this revises previous thinking
  • revises_thought (int, optional): Which thought is being reconsidered
  • branch_from_thought (int, optional): Branching point thought number
  • branch_id (str, optional): Branch identifier
  • needs_more_thoughts (bool, optional): If more thoughts are needed
  • score (float, optional): Score for the thought (0.0 to 1.0)
  • tags (List[str], optional): List of tags for categorizing the thought

2. get_thinking_summary

This tool generates a summary of the entire thinking process.

Troubleshooting

Common issues:

  • Server Connection Issues
    • Verify paths in claude_desktop_config.json
    • Check Claude Desktop logs: %APPDATA%\Claude\logs
    • Test manual server start

License

MIT License

Acknowledgments

  • Model Context Protocol framework
  • Claude Desktop team

推荐服务器

e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
mult-fetch-mcp-server

mult-fetch-mcp-server

一个多功能的、符合 MCP 规范的网页内容抓取工具,支持多种模式(浏览器/Node)、格式(HTML/JSON/Markdown/文本)和智能代理检测,并提供双语界面(英语/中文)。

精选
本地
AIO-MCP Server

AIO-MCP Server

🚀 集成了 AI 搜索、RAG 和多服务(GitLab/Jira/Confluence/YouTube)的一体化 MCP 服务器,旨在增强 AI 驱动的开发工作流程。来自 Folk。

精选
本地
https://github.com/Streen9/react-mcp

https://github.com/Streen9/react-mcp

react-mcp 与 Claude Desktop 集成,能够根据用户提示创建和修改 React 应用程序。

精选
本地
any-chat-completions-mcp

any-chat-completions-mcp

将 Claude 与任何 OpenAI SDK 兼容的聊天完成 API 集成 - OpenAI、Perplexity、Groq、xAI、PyroPrompts 等。

精选
Exa MCP Server

Exa MCP Server

一个模型上下文协议服务器,它使像 Claude 这样的人工智能助手能够以安全和受控的方式,使用 Exa AI 搜索 API 执行实时网络搜索。

精选
MySQL MCP Server

MySQL MCP Server

允许人工智能助手通过受控界面列出表格、读取数据和执行 SQL 查询,从而使数据库探索和分析更安全、更有条理。

精选
browser-use MCP server

browser-use MCP server

一个由人工智能驱动的浏览器自动化服务器,它实现了模型上下文协议,从而能够使用自然语言控制网页浏览器,以执行诸如导航、表单填写和视觉交互等任务。

精选
YouTube Translate MCP

YouTube Translate MCP

一个模型上下文协议服务器,可以通过文字稿、翻译、摘要和各种语言的字幕生成来访问 YouTube 视频内容。

精选
mcp-codex-keeper

mcp-codex-keeper

作为开发知识的守护者,为 AI 助手提供精心策划的最新文档和最佳实践访问权限。

精选