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Sequential Thinking MCP Server

@modelcontextprotocolon 10 days ago
52364 MIT
HostedFreeOfficial
AI Systems
#dynamic thinking#reflective process#structured thinking
Dynamic and reflective problem-solving through thought sequences

Overview

What is Sequential Thinking MCP Server

The Sequential Thinking MCP Server is a dynamic problem-solving tool designed to facilitate structured thinking processes. It allows users to break down complex problems into manageable steps, revise thoughts as understanding evolves, and explore alternative reasoning paths, ultimately aiding in reflective and systematic analysis.

Use cases

This tool is ideal for various scenarios including breaking down intricate problems, planning and design tasks that require iterative refinement, analyzing situations that may need course corrections, and managing tasks where the full scope is not initially clear. It is particularly useful for maintaining context over multiple steps and filtering out irrelevant information.

How to use

To use the Sequential Thinking tool, provide inputs such as the current thought step, whether more thoughts are needed, and the current thought number. Users can revise previous thoughts, branch into new paths, and dynamically adjust the total number of thoughts as needed. The structured inputs guide the thinking process effectively.

Key features

Key features include the ability to decompose complex problems into smaller, manageable steps, revise and refine thoughts based on new insights, explore alternative reasoning paths, dynamically adjust the number of thoughts, and generate and verify hypotheses for solutions. This structured approach enhances clarity and depth in problem-solving.

Where to use

The Sequential Thinking MCP Server can be utilized in various settings such as academic research, project management, strategic planning, and any situation requiring systematic problem-solving. It is particularly beneficial in environments where complex issues need to be analyzed thoroughly and iteratively.

Content

Sequential Thinking MCP Server

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

Features

  • 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

Tool

sequential_thinking

Facilitates a detailed, step-by-step thinking process for problem-solving and analysis.

Inputs:

  • thought (string): The current thinking step
  • nextThoughtNeeded (boolean): Whether another thought step is needed
  • thoughtNumber (integer): Current thought number
  • totalThoughts (integer): Estimated total thoughts needed
  • isRevision (boolean, optional): Whether this revises previous thinking
  • revisesThought (integer, optional): Which thought is being reconsidered
  • branchFromThought (integer, optional): Branching point thought number
  • branchId (string, optional): Branch identifier
  • needsMoreThoughts (boolean, optional): If more thoughts are needed

Usage

The Sequential Thinking tool is designed for:

  • 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
  • Tasks that need to maintain context over multiple steps
  • Situations where irrelevant information needs to be filtered out

Local

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

Remote

{
  "mcpServers": {
    "fetch": {
      "type": "streamable-http",
      "url": "https://router.mcpso.cc/mcp/sequential-thinking"
    }
  }
}

Tools

sequentialthinking
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

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