Sequential Thinking

Name: Sequential Thinking
Author: modelcontextprotocol

@modelcontextprotocol

リポジトリホームページ

Sequential Thinking について

Model Context Protocol Servers

#sequentialthinking #problem-solving #structured-thinking

基本情報

カテゴリ

その他

ライセンス

NOASSERTION

ランタイム

node

トランスポート

stdio

公開者

modelcontextprotocol

投稿者

idoubi

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

ツール

A detailed tool for dynamic and reflective problem-solving through thoughts. This tool helps analyze problems through a flexible thinking process that can adapt and evolve. Each thought can build on, question, or revise previous insights as understanding deepens. When to use this tool: - Breaking down complex problems into steps - Planning and design with room for revision - Analysis that might need course correction - Problems where the full scope might not be clear initially - Problems that require a multi-step solution - Tasks that need to maintain context over multiple steps - Situations where irrelevant information needs to be filtered out Key features: - You can adjust total_thoughts up or down as you progress - You can question or revise previous thoughts - You can add more thoughts even after reaching what seemed like the end - You can express uncertainty and explore alternative approaches - Not every thought needs to build linearly - you can branch or backtrack - Generates a solution hypothesis - Verifies the hypothesis based on the Chain of Thought steps - Repeats the process until satisfied - Provides a correct answer Parameters explained: - thought: Your current thinking step, which can include: * Regular analytical steps * Revisions of previous thoughts * Questions about previous decisions * Realizations about needing more analysis * Changes in approach * Hypothesis generation * Hypothesis verification - next_thought_needed: True if you need more thinking, even if at what seemed like the end - thought_number: Current number in sequence (can go beyond initial total if needed) - total_thoughts: Current estimate of thoughts needed (can be adjusted up/down) - is_revision: A boolean indicating if this thought revises previous thinking - revises_thought: If is_revision is true, which thought number is being reconsidered - branch_from_thought: If branching, which thought number is the branching point - branch_id: Identifier for the current branch (if any) - needs_more_thoughts: If reaching end but realizing more thoughts needed You should: 1. Start with an initial estimate of needed thoughts, but be ready to adjust 2. Feel free to question or revise previous thoughts 3. Don't hesitate to add more thoughts if needed, even at the "end" 4. Express uncertainty when present 5. Mark thoughts that revise previous thinking or branch into new paths 6. Ignore information that is irrelevant to the current step 7. Generate a solution hypothesis when appropriate 8. Verify the hypothesis based on the Chain of Thought steps 9. Repeat the process until satisfied with the solution 10. Provide a single, ideally correct answer as the final output 11. Only set next_thought_needed to false when truly done and a satisfactory answer is reached

概要

What is Sequential Thinking?

Sequential Thinking is an MCP server that provides a tool for dynamic and reflective problem-solving through a structured, step-by-step thinking process. It is designed for AI assistants and MCP-aware hosts to break down complex problems, revise thoughts, branch reasoning, and generate solution hypotheses.

How to use Sequential Thinking?

Connect Sequential Thinking to an MCP-aware host (e.g., Claude Desktop, VS Code) and ask the model to think through a problem step by step. The host will invoke the sequential_thinking tool automatically. Install via npx (npx -y @modelcontextprotocol/server-sequential-thinking) or Docker (docker run --rm -i mcp/sequentialthinking). Configuration examples for Claude Desktop and VS Code are provided in the README.

Key features of Sequential Thinking

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

Use cases of Sequential Thinking

Plan a database migration with risk assessment and plan revision
Debug deployment failures step by step, showing reasoning
Compare architecture options and branch if assumptions change
Analyze problems where the full scope is not initially clear
Maintain context over multiple reasoning steps while filtering irrelevant information

FAQ from Sequential Thinking

What problem does Sequential Thinking solve compared to a one-shot answer?

It enables iterative, reflective reasoning that can revise itself, branch into alternatives, and adapt to new information—unlike a single, static response.

What runtime or dependencies are needed?

The server can be run via npx (requires Node.js) or Docker. No additional third-party services or databases are required.

How do I tell if the tool is working correctly?

In your MCP host, confirm the sequential_thinking tool appears in the tool list. Then ask a non‑trivial question; if the host invokes the tool multiple times with fields like thoughtNumber and nextThoughtNeeded, it is working.

Can I disable logging of thought information?

Yes, set the environment variable DISABLE_THOUGHT_LOGGING to true when starting the server.

Is there a way to manually call the tool?

You can call sequential_thinking directly only if your client exposes raw tool calls. In normal use, the host decides when to call the tool based on the conversation.