Sequential Thinking MCP Server测评：让AI学会“三思而后行”的思维教练

{
    "mcpServers": {
        "sequential-thinking": {
            "command": "cmd",
            "args": [
                "/c",
                "npx",
                "-y",
                "@modelcontextprotocol/server-sequential-thinking"
            ]
        }
    }
}

# 安装uv包管理器（替代pip）
curl -LsSf https://astral.sh/uv/install.sh | sh

# 初始化项目
uv init . -p 3.13

# 安装MCP官方SDK
uv add "mcp[cli]"

uv list | grep mcp  # 查看是否包含mcp包[citation:2]

# Ubuntu/Debian系统
sudo apt update
sudo apt install python3-pip python3-venv git

# CentOS/RHEL系统
sudo yum install python3-pip git

# 克隆项目（如果从GitHub获取）
git clone https://github.com/smithery-ai/reference-servers/tree/main/src/sequentialthinking

# 进入项目目录
cd sequentialthinking

# 设置虚拟环境
python -m venv .venv
source .venv/bin/activate

# 安装依赖
pip install -r requirements.txt[citation:9]

FROM python:3.12-slim
WORKDIR /app
COPY . /app/

RUN pip install --upgrade pip && pip install uv

RUN python -m venv .venv
ENV PATH="/app/.venv/bin:$PATH"

RUN pip install -r requirements.txt
RUN pip install mcp

CMD ["uv", "run", "--with", "mcp[cli]", "mcp", "run", "/app/main.py"]
EXPOSE 25565[citation:8]

# 构建Docker镜像
docker build -t sequential-thinking-mcp .

# 运行容器
docker run -d -p 25565:25565 sequential-thinking-mcp

# 查看运行状态
docker ps[citation:8]

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-sequential-thinking"
      ],
      "env": {
        "OPENAI_API_KEY": "your-api-key-here",
        "ANTHROPIC_API_KEY": "your-anthropic-key-here"
      }
    }
  }
}

# 导入必要的库和模块
import asyncio
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client

# 思考步骤数据定义
thought_steps = [
    {
        "thought": "分析智能可穿戴设备市场的当前趋势和增长潜力，特别关注健康监测功能的需求变化。",
        "thoughtNumber": 1,
        "totalThoughts": 8,
        "nextThoughtNeeded": True
    },
    {
        "thought": "评估主要竞争对手的产品特点、定价策略和市场占有率，找出市场空白和差异化机会。",
        "thoughtNumber": 2,
        "totalThoughts": 8,
        "nextThoughtNeeded": True
    },
    {
        "thought": "审查我们的技术能力和供应链资源，确定产品核心功能的技术可行性。",
        "thoughtNumber": 3,
        "totalThoughts": 8,
        "nextThoughtNeeded": True,
        "isRevision": False
    },
    {
        "thought": "基于前三步的分析，我需要修正对技术可行性的评估，实际上我们在电池续航方面存在挑战，应重新评估。",
        "thoughtNumber": 4,
        "totalThoughts": 8,
        "nextThoughtNeeded": True,
        "isRevision": True,
        "revisesThought": 3
    },
    {
        "thought": "探索两个不同的市场进入策略分支：高端专业市场vs大众消费市场。",
        "thoughtNumber": 5,
        "totalThoughts": 10,  # 注意：总步数动态调整为10
        "nextThoughtNeeded": True,
        "branchFromThought": 2,
        "branchId": "market_strategy"
    },
    {
        "thought": "分支A：专注于高端专业医疗市场，需要评估监管要求、销售渠道和利润率。",
        "thoughtNumber": 6,
        "totalThoughts": 10,
        "nextThoughtNeeded": True,
        "branchId": "market_strategy_high_end"
    },
    {
        "thought": "分支B：针对大众消费市场，重点分析价格敏感度、营销渠道和用户获取成本。",
        "thoughtNumber": 7,
        "totalThoughts": 10,
        "nextThoughtNeeded": True,
        "branchId": "market_strategy_mass"
    },
    {
        "thought": "基于成本结构和市场竞争分析，进行初步财务预测和投资回报率计算。",
        "thoughtNumber": 8,
        "totalThoughts": 10,
        "nextThoughtNeeded": True
    },
    {
        "thought": "综合所有分析，制定详细的产品路线图、资源分配计划和风险评估。",
        "thoughtNumber": 9,
        "totalThoughts": 10,
        "nextThoughtNeeded": True
    },
    {
        "thought": "最终决策：选择大众消费市场为切入点，但保留专业版作为未来扩展方向，制定分阶段推出计划。",
        "thoughtNumber": 10,
        "totalThoughts": 10,
        "nextThoughtNeeded": False  # 思考过程结束
    }
]

async def run_sequential_thinking():
    """运行顺序思考过程的主函数"""
    
    # 配置MCP服务器参数
    server_params = StdioServerParameters(
        command="npx",
        args=["-y", "@modelcontextprotocol/server-sequential-thinking"]
    )
    
    # 创建客户端会话
    async with stdio_client(server_params) as (read, write):
        async with ClientSession(read, write) as session:
            # 初始化会话
            await session.initialize()
            
            # 列出可用工具
            tools = await session.list_tools()
            print(f"可用工具: {[tool.name for tool in tools.tools]}")
            
            # 逐步执行思考过程
            for step in thought_steps:
                print(f"\n=== 步骤 {step['thoughtNumber']}: {step['thought'][:50]}... ===")
                
                # 调用sequential_thinking工具
                result = await session.call_tool(
                    "sequential_thinking",
                    step
                )
                
                # 处理返回结果
                if result.content and len(result.content) > 0:
                    response_text = result.content[0].text
                    print(f"思考反馈: {response_text[:150]}...")
                    
                    # 检查是否需要动态调整总步数
                    if "estimatedTotalThoughts" in response_text:
                        # 解析并更新后续步骤的总步数
                        pass
                
                # 短暂暂停，模拟思考时间
                await asyncio.sleep(0.5)
            
            print("\n=== 思考过程完成 ===")
            
            # 获取最终总结
            final_result = await session.call_tool(
                "sequential_thinking",
                {
                    "thought": "生成完整的产品战略规划总结报告",
                    "thoughtNumber": 11,
                    "totalThoughts": 11,
                    "nextThoughtNeeded": False,
                    "isRevision": False
                }
            )
            
            if final_result.content and len(final_result.content) > 0:
                print(f"\n最终报告摘要:\n{final_result.content[0].text[:500]}...")

# 运行主函数
if __name__ == "__main__":
    asyncio.run(run_sequential_thinking())

{
  "processedThoughtNumber": 4,
  "estimatedTotalThoughts": 10,
  "nextThoughtNeeded": true,
  "coordinatorResponse": "分析团队已处理您的技术可行性修订请求。确实，电池续航是关键技术挑战。建议：1) 优先考虑低功耗传感器选型；2) 探索新型电池技术；3) 设计智能电源管理算法。请继续进行财务影响评估。"
}