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Sequential Thinking MCP Server (Python Implementation)

@XD3an

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基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

XD3an

Sequential Thinking MCP Server について

A Python implementation of the Sequential Thinking MCP server using the official Model Context Protocol (MCP) Python SDK. This server facilitates a detailed, step-by-step thinking process for problem-solving and analysis.

Sequential Thinking MCP Server の設定

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": {
    "python-sequential-thinking-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/sequential-thinking-mcp",
        "run",
        "main.py"
      ]
    }
  }
}

Sequential Thinking MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Sequential Thinking MCP Server (Python Implementation)?

This server implements the Model Context Protocol (MCP) to provide a sequential thinking process for step-by-step problem solving and analysis. It allows AI assistants like Claude to break down complex problems into manageable thoughts, revise them, branch into alternative reasoning paths, and generate/verify hypotheses.

How to use Sequential Thinking MCP Server (Python Implementation)?

Run directly with uv --directory "/path/to/sequential-thinking-mcp" run main.py. For development use mcp dev "/path/to/sequential-thinking-mcp" after installing the MCP CLI. Integrate with Claude Desktop by adding the server configuration to the assistant’s MCP settings or using mcp install. The server exposes the sequential_thinking tool and three resources for thought history, branches, and summary.

Key features of Sequential Thinking MCP Server (Python Implementation)

  • Break down complex problems into manageable steps
  • Revise and refine thoughts as understanding deepens
  • Branch into alternative paths of reasoning
  • Adjust the total number of thoughts dynamically
  • Generate and verify solution hypotheses

Use cases of Sequential Thinking MCP Server (Python Implementation)

  • Analyze problem requirements step by step with revision support
  • Explore multiple alternative reasoning paths via branching
  • Correct and refine earlier thoughts during analysis
  • Provide structured thinking for AI assistants tackling complex tasks
  • Iteratively build and test solution hypotheses

よくある質問

1

What is the sequential thinking tool and its parameters?

The `sequential_thinking` tool accepts parameters: `thought` (string), `thoughtNumber` (integer), `totalThoughts` (integer), `nextThoughtNeeded` (boolean), and optional fields such as `isRevision`, `revisesThought`, `branchFromThought`, `branchId`, and `needsMoreThoughts`.

2

How can I integrate this server with an AI assistant like Claude?

Use the MCP CLI (`mcp install`) to add the server to Claude Desktop, or declare it in the assistant's MCP configuration with the command `uv --directory /path/ run main.py`.

3

What resources does the server provide?

The server provides `thoughts://history` for the complete thought history, `thoughts://branches/{branch_id}` for thoughts in a specific branch, and `thoughts://summary` for an overview of all thoughts and branches.

4

What runtime dependencies are required?

Python 3, the MCP Python SDK (`pip install "mcp[cli]"`), and the `uv` package manager are required. The README also shows using `npx @modelcontextprotocol/inspector` for inspection.

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