Skip to main content
Glama
zalab-inc

Sequential Thinking MCP Server

by zalab-inc

シーケンシャルシンキングMCPサーバー

構造化された思考プロセスを通じて動的かつ反射的な問題解決のためのツールを提供する MCP サーバー実装。

特徴

  • 複雑な問題を扱いやすいステップに分解する

  • 理解が深まるにつれて考えを修正し洗練させる

  • 代替的な推論の道に分岐する

  • 思考の総数を動的に調整する

  • 解決策の仮説を生成し検証する

Related MCP server: Think MCP

道具

順次思考

問題解決と分析のための詳細かつ段階的な思考プロセスを促進します。

入力:

  • thought (文字列): 現在の思考ステップ

  • nextThoughtNeeded (boolean): 別の思考ステップが必要かどうか

  • thoughtNumber (整数):現在の思考番号

  • totalThoughts (整数): 必要な推定総思考数

  • isRevision (ブール値、オプション):これが以前の考えを修正するかどうか

  • revisesThought (整数、オプション): 再考されている考え

  • branchFromThought (整数、オプション): 分岐点の思考番号

  • branchId (文字列、オプション): ブランチ識別子

  • needsMoreThoughts (ブール値、オプション): さらに考えが必要な場合

使用法

シーケンシャル シンキング ツールは次の目的で設計されています。

  • 複雑な問題を段階的に分解する

  • 修正の余地がある計画と設計

  • 軌道修正が必要な分析

  • 当初は全体の範囲が明確でない可能性がある問題

  • 複数のステップにわたってコンテキストを維持する必要があるタスク

  • 無関係な情報をフィルタリングする必要がある状況

構成

Claude Desktopでの使用

これをclaude_desktop_config.jsonに追加します:

npx

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

ドッカー

{
  "mcpServers": {
    "sequentialthinking": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "mcp/sequentialthinking"
      ]
    }
  }
}

建物

ドッカー:

docker build -t mcp/sequentialthinking -f src/sequentialthinking/Dockerfile .

ライセンス

このMCPサーバーはMITライセンスに基づいてライセンスされています。つまり、MITライセンスの条件に従って、ソフトウェアを自由に使用、改変、配布することができます。詳細については、プロジェクトリポジトリのLICENSEファイルをご覧ください。

Available Tools

1 tool
sequentialthinkingA

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

NameRequiredDescriptionDefault
thoughtYesYour current thinking step
nextThoughtNeededYesWhether another thought step is needed
thoughtNumberYesCurrent thought number
totalThoughtsYesEstimated total thoughts needed
isRevisionNoWhether this revises previous thinking
revisesThoughtNoWhich thought is being reconsidered
branchFromThoughtNoBranching point thought number
branchIdNoBranch identifier
needsMoreThoughtsNoIf more thoughts are needed

TDQS

A4.6/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description fully carries the burden of behavioral disclosure. It details the iterative process including revision, branching, hypothesis generation, verification, and repetition. It explains that thoughts can build, question, or revise previous insights. This level of detail fully informs the agent of the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections (When to use, Key features, Parameters explained, You should). It is front-loaded with the tool's purpose. However, it is somewhat verbose, particularly the 'You should' list which repeats earlier points (e.g., generating and verifying hypothesis). Trimming redundant points could improve conciseness without losing value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (9 parameters, no output schema, no annotations), the description covers most aspects: purpose, usage guidelines, parameter details, and behavioral process. The only gap is that it does not mention the return value format or output structure. Since there is no output schema, the description could have briefly described what the tool returns (e.g., final answer or thought log) to be fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although schema coverage is 100%, the description adds substantial meaning beyond the schema. For example, the 'thought' parameter is described as including regular analytical steps, revisions, questions, etc. The 'next_thought_needed' and 'total_thoughts' parameters are explained with usage context. This extra information greatly helps the agent understand how to use each parameter effectively.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'dynamic and reflective problem-solving through thoughts.' It specifies that it helps analyze problems through a flexible thinking process. Since there are no sibling tools, differentiation is not needed. The verb 'helps analyze' and the resource 'problems' make it specific and actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a dedicated 'When to use this tool' section listing scenarios like breaking down complex problems, planning with revision, and analysis needing course correction. It offers clear context but does not explicitly state when to avoid using the tool or mention alternatives. With no sibling tools, the lack of exclusions is acceptable, but the guidance could be more comprehensive.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedsequentialthinking

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as a dynamic problem-solving process, making it distinct by default.

Naming Consistency5/5

A single tool inherently has consistent naming, as there are no other tools to compare it against. The name 'sequentialthinking' is descriptive and follows a clear, albeit unique, pattern for this server.

Tool Count2/5

One tool is too few for a server that aims to facilitate dynamic and reflective problem-solving, as it forces all functionality into a single, complex interface. This limits flexibility and could overwhelm users or agents with its many parameters, making it feel thin in scope despite its depth.

Completeness3/5

The tool covers a broad range of problem-solving steps, but as a single tool, it lacks modularity. There are no obvious gaps in functionality, but the monolithic design might lead to dead ends or inefficiencies in handling diverse tasks that could benefit from separate, specialized tools.

Maintenance

ActivityInactive
ResponsivenessNo issues

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    Enables structured, step-by-step problem-solving with dynamic revision and branching capabilities. Supports breaking down complex problems into manageable steps while allowing course corrections and alternative reasoning paths.
    1
    137,632 npm
    1
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Enables structured step-by-step reasoning with branching, revisions, and self-critique to help break down complex problems into manageable steps with confidence tracking and thought history search.
    7
    8 npm
    7
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables structured, step-by-step problem-solving through dynamic thinking processes that can be revised, branched, and adjusted as understanding deepens. Supports breaking down complex problems into manageable steps with the ability to revise previous thoughts and explore alternative reasoning paths.
    1
    137,632 npm
    MIT