Sequential Thinking

A sequential thinking tool for analyzing and solving complex problems step by step. It enables deep analysis through dynamic and reflective problem-solving processes.

Key Features

• Step-by-step problem analysis and resolution
• Dynamic thinking process adjustment
• Review and revision of previous steps
• Hypothesis generation and verification
• Multi-approach exploration
• Uncertainty expression and alternative exploration

Use Cases

Sequential Thinking MCP can be utilized in the following scenarios:

• Breaking down complex problems step by step
• Considering modification possibilities in planning and design processes
• Analysis requiring direction changes during the process
• Problems where the overall scope is not clear initially
• Tasks requiring multi-step solutions
• Situations requiring context maintenance across multiple steps
• Situations requiring filtering of irrelevant information

Basic Information

Authentication Method

No separate authentication is required.

Input Parameters

No parameters need to be configured.

Supported MCP Tools

sequentialthinking

A tool for analyzing and solving complex problems step by step.

Input Parameters:

• thought (required): Content of the current thinking step
• nextThoughtNeeded (required): Whether additional thinking is needed
• thoughtNumber (required): Current thinking step number
• totalThoughts (required): Expected total number of thinking steps
• isRevision (optional): Whether revising a previous thought
• revisesThought (optional): Thought step number being revised
• branchFromThought (optional): Thought step number to branch from
• branchId (optional): Branch identifier
• needsMoreThoughts (optional): Whether more thoughts are needed

Usage Example

For example,

• When you input “Analyze a complex business problem step by step” as a prompt,
• The LLM calls the sequentialthinking tool multiple times through MCP to systematically analyze the problem.
• At each call step, it develops thinking, reviews previous steps when necessary, and derives the final solution.
• Then, it responds in the chat based on the tool call results.