sequentialthinking
Break down complex problems into manageable steps with the ability to revise, branch, or adjust thoughts dynamically, ensuring a thorough and flexible analysis.
Instructions
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:
Start with an initial estimate of needed thoughts, but be ready to adjust
Feel free to question or revise previous thoughts
Don't hesitate to add more thoughts if needed, even at the "end"
Express uncertainty when present
Mark thoughts that revise previous thinking or branch into new paths
Ignore information that is irrelevant to the current step
Generate a solution hypothesis when appropriate
Verify the hypothesis based on the Chain of Thought steps
Repeat the process until satisfied with the solution
Provide a single, ideally correct answer as the final output
Only set next_thought_needed to false when truly done and a satisfactory answer is reached
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| thought | Yes | Your current thinking step | |
| nextThoughtNeeded | Yes | Whether another thought step is needed | |
| thoughtNumber | Yes | Current thought number (numeric value, e.g., 1, 2, 3) | |
| totalThoughts | Yes | Estimated total thoughts needed (numeric value, e.g., 5, 10) | |
| isRevision | No | Whether this revises previous thinking | |
| revisesThought | No | Which thought is being reconsidered | |
| branchFromThought | No | Branching point thought number | |
| branchId | No | Branch identifier | |
| needsMoreThoughts | No | If more thoughts are needed |
Implementation Reference
- index.ts:100-161 (handler)The processThought method is the main handler that processes a sequential thinking step. It validates input via validateThoughtData, stores the thought in history, handles branching, logs the formatted thought, and returns structured JSON output including thoughtNumber, totalThoughts, nextThoughtNeeded, branches, and thoughtHistoryLength.
public processThought(input: unknown): { content: Array<{ type: string; text: string }> isError?: boolean } { try { const validatedInput = this.validateThoughtData(input) if (validatedInput.thoughtNumber > validatedInput.totalThoughts) { validatedInput.totalThoughts = validatedInput.thoughtNumber } this.thoughtHistory.push(validatedInput) if (validatedInput.branchFromThought && validatedInput.branchId) { if (!this.branches[validatedInput.branchId]) { this.branches[validatedInput.branchId] = [] } this.branches[validatedInput.branchId].push(validatedInput) } if (!this.disableThoughtLogging) { const formattedThought = this.formatThought(validatedInput) console.error(formattedThought) } return { content: [ { type: 'text', text: JSON.stringify( { thoughtNumber: validatedInput.thoughtNumber, totalThoughts: validatedInput.totalThoughts, nextThoughtNeeded: validatedInput.nextThoughtNeeded, branches: Object.keys(this.branches), thoughtHistoryLength: this.thoughtHistory.length, }, null, 2, ), }, ], } } catch (error) { return { content: [ { type: 'text', text: JSON.stringify( { error: error instanceof Error ? error.message : String(error), status: 'failed', }, null, 2, ), }, ], isError: true, } } } - index.ts:13-62 (schema)The ThoughtData interface defines the input schema with fields: thought, thoughtNumber, totalThoughts, isRevision, revisesThought, branchFromThought, branchId, needsMoreThoughts, and nextThoughtNeeded.
interface ThoughtData { thought: string thoughtNumber: number totalThoughts: number isRevision?: boolean revisesThought?: number branchFromThought?: number branchId?: string needsMoreThoughts?: boolean nextThoughtNeeded: boolean } class SequentialThinkingServer { private thoughtHistory: ThoughtData[] = [] private branches: Record<string, ThoughtData[]> = {} private disableThoughtLogging: boolean constructor() { this.disableThoughtLogging = (process.env.DISABLE_THOUGHT_LOGGING || '').toLowerCase() === 'true' } private validateThoughtData(input: unknown): ThoughtData { const data = input as Record<string, unknown> if (!data.thought || typeof data.thought !== 'string') { throw new Error('Invalid thought: must be a string') } if (!data.thoughtNumber || typeof data.thoughtNumber !== 'number') { throw new Error('Invalid thoughtNumber: must be a number') } if (!data.totalThoughts || typeof data.totalThoughts !== 'number') { throw new Error('Invalid totalThoughts: must be a number') } if (typeof data.nextThoughtNeeded !== 'boolean') { throw new Error('Invalid nextThoughtNeeded: must be a boolean') } return { thought: data.thought, thoughtNumber: data.thoughtNumber, totalThoughts: data.totalThoughts, nextThoughtNeeded: data.nextThoughtNeeded, isRevision: data.isRevision as boolean | undefined, revisesThought: data.revisesThought as number | undefined, branchFromThought: data.branchFromThought as number | undefined, branchId: data.branchId as string | undefined, needsMoreThoughts: data.needsMoreThoughts as boolean | undefined, } } - index.ts:164-271 (schema)The SEQUENTIAL_THINKING_TOOL constant defines the tool's name ('sequentialthinking'), description, and JSON Schema inputSchema specifying required fields (thought, nextThoughtNeeded, thoughtNumber, totalThoughts) and optional fields.
const SEQUENTIAL_THINKING_TOOL: Tool = { name: 'sequentialthinking', description: `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`, inputSchema: { type: 'object', properties: { thought: { type: 'string', description: 'Your current thinking step', }, nextThoughtNeeded: { type: 'boolean', description: 'Whether another thought step is needed', }, thoughtNumber: { type: 'integer', description: 'Current thought number (numeric value, e.g., 1, 2, 3)', minimum: 1, }, totalThoughts: { type: 'integer', description: 'Estimated total thoughts needed (numeric value, e.g., 5, 10)', minimum: 1, }, isRevision: { type: 'boolean', description: 'Whether this revises previous thinking', }, revisesThought: { type: 'integer', description: 'Which thought is being reconsidered', minimum: 1, }, branchFromThought: { type: 'integer', description: 'Branching point thought number', minimum: 1, }, branchId: { type: 'string', description: 'Branch identifier', }, needsMoreThoughts: { type: 'boolean', description: 'If more thoughts are needed', }, }, required: [ 'thought', 'nextThoughtNeeded', 'thoughtNumber', 'totalThoughts', ], }, - index.ts:288-289 (registration)The ListToolsRequestSchema handler registers the 'sequentialthinking' tool by returning SEQUENTIAL_THINKING_TOOL in the tools array.
server.setRequestHandler(ListToolsRequestSchema, async () => ({ tools: [SEQUENTIAL_THINKING_TOOL], - index.ts:292-295 (registration)The CallToolRequestSchema handler routes incoming tool calls. When request.params.name equals 'sequentialthinking', it delegates to thinkingServer.processThought with the arguments.
server.setRequestHandler(CallToolRequestSchema, async (request) => { if (request.params.name === 'sequentialthinking') { return thinkingServer.processThought(request.params.arguments) }