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Sequential Thinking

Structured problem-solving for complex AI tasks

1 tool available

Sequential Thinking tools help your AI break down complex problems into structured, step-by-step thoughts. Instead of jumping to an answer, the AI can think through a problem methodically โ€” revising its thinking and branching into alternative approaches.

This is particularly useful for debugging, architecture decisions, mathematical proofs, and any task where careful reasoning leads to better outcomes. The AI's thought process becomes transparent and traceable.

Benefits

Why use Sequential Thinking?

โœ“ Step-by-step reasoning for complex problems
โœ“ Ability to revise previous thoughts
โœ“ Branch into alternative approaches
โœ“ Transparent thought process you can follow
โœ“ Better outcomes for complex tasks
Use Cases

What can you do?

Debugging

Walk through a bug systematically โ€” analyzing symptoms, forming hypotheses, and testing solutions.

Architecture decisions

Evaluate trade-offs between different system designs with structured analysis.

Mathematical problems

Solve complex math problems step by step with the ability to revise and correct reasoning.

Planning

Break down large projects into actionable steps with dependencies and priorities.

Your Endpoint

Connect with Sequential Thinking

Use this URL to connect with only Sequential Thinking + Environment Variables enabled.

MCP Endpoint
https://mcp.runtools.link/{YOUR_KEY}
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Tools

Sequential Thinking Tools

sequential_thinking_process
9 args
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 - nextThoughtNeeded: True if you need more thinking, even if at what seemed like the end - thoughtNumber: Current number in sequence (can go beyond initial total if needed) - totalThoughts: Current estimate of thoughts needed (can be adjusted up/down) - isRevision: A boolean indicating if this thought revises previous thinking - revisesThought: If isRevision is true, which thought number is being reconsidered - branchFromThought: If branching, which thought number is the branching point - branchId: Identifier for the current branch (if any) - needsMoreThoughts: 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 nextThoughtNeeded to false when truly done and a satisfactory answer is reached
Arguments
Name Type Description
thought string Your current thinking step required
nextThoughtNeeded boolean Whether another thought step is needed required
thoughtNumber number Current thought number required
totalThoughts number Estimated total thoughts needed required
isRevision boolean Whether this revises previous thinking optional
revisesThought number Which thought is being reconsidered optional
branchFromThought number Branching point thought number optional
branchId string Branch identifier optional
needsMoreThoughts boolean If more thoughts are needed optional
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