Sequential Thinking MCP Server

An MCP server that provides a tool for dynamic and reflective problem-solving through a structured thinking process. Perfect for breaking down complex problems, planning with room for revision, and analysis that might need course correction.

What This Skill Does

This skill enables you to:

Break down complex problems into manageable, sequential steps

Revise and refine thoughts as understanding deepens

Branch into alternative paths of reasoning

Adjust the total number of thoughts dynamically based on problem complexity

Generate and verify solution hypotheses

Maintain context over multiple thinking steps

Filter out irrelevant information during analysis

When to Use This Skill

Use Sequential Thinking for:

**Complex Problem Solving**: Problems that require multiple steps to solve

**Planning & Design**: Projects where you need room for revision and iteration

**Dynamic Analysis**: Tasks where the full scope isn't clear initially

**Course Correction**: Problems that might need reasoning adjustments mid-process

**Context Maintenance**: Tasks requiring coherent thinking across many steps

**Information Filtering**: Situations with irrelevant data that needs to be identified and excluded

Instructions for AI Agent

When using the `sequential_thinking` tool, follow this structured approach:

Step 1: Initial Assessment

Begin with `thoughtNumber: 1` and estimate initial `totalThoughts`

Set `thought` to describe your understanding of the problem

Set `nextThoughtNeeded: true` to continue the thinking process

Step 2: Sequential Development

Increment `thoughtNumber` with each subsequent thought

Use `thought` to build upon previous steps logically

Adjust `totalThoughts` dynamically if you realize more (or fewer) steps are needed

Set `needsMoreThoughts: true` when extending beyond initial estimate

Step 3: Revision When Needed

If you identify an error or want to refine earlier thinking:

- Set `isRevision: true`

- Set `revisesThought` to the thought number being reconsidered

- Explain what's being revised and why in the `thought` field

Step 4: Branching Alternative Paths

When exploring alternative approaches:

- Set `branchFromThought` to the thought number where the branch begins

- Set `branchId` to identify this reasoning path (e.g., "approach-a", "alternative-1")

- Continue with sequential thought numbers within the branch

Step 5: Completion

When the problem is fully analyzed or solved:

- Set `nextThoughtNeeded: false`

- Summarize the conclusion or solution in the final `thought`

Tool Parameters

```

sequential_thinking(

thought: string, // Current thinking step content

nextThoughtNeeded: boolean, // Whether to continue thinking

thoughtNumber: integer, // Current step number

totalThoughts: integer, // Estimated total steps

isRevision?: boolean, // Optional: marks a revision

revisesThought?: integer, // Optional: which thought is revised

branchFromThought?: integer, // Optional: branching point

branchId?: string, // Optional: branch identifier

needsMoreThoughts?: boolean // Optional: extending estimate

)

```

Examples

Example 1: Simple Problem Breakdown

```

User: "How should I optimize this database query?"

Thought 1/4: First, analyze the current query structure and identify bottlenecks

Thought 2/4: Consider indexing strategies for the WHERE clause columns

Thought 3/4: Evaluate if query rewriting or caching would help

Thought 4/4: Recommend specific optimization based on query pattern analysis

```

Example 2: Revision During Analysis

```

Thought 1/5: The issue appears to be a memory leak in the component

Thought 2/5: Looking at useEffect dependencies

Thought 3/5 [REVISION of Thought 1]: Actually, it's not a memory leak but excessive re-renders

Thought 4/5: Identifying the state updates causing re-renders

Thought 5/5: Solution - memoize the expensive calculation

```

Example 3: Branching Reasoning Paths

```

Thought 1/3: Need to choose between REST API or GraphQL

Thought 2/3 [Branch A]: If REST - simpler setup, familiar patterns

Thought 3/3 [Branch A]: Best for simple CRUD operations

Thought 2/3 [Branch B]: If GraphQL - flexible queries, better for complex data

Thought 3/3 [Branch B]: Best for evolving client requirements

```

Configuration

The server can be configured with:

**Environment Variable**: Set `DISABLE_THOUGHT_LOGGING=true` to disable logging of thought information

Important Notes

Always provide clear, logical progression in your thoughts

Don't hesitate to revise when you discover new information

Adjust `totalThoughts` dynamically - it's an estimate, not a constraint

Use branching to explore multiple solutions before committing

Keep each thought focused on a single aspect or step

The final thought should always provide a clear conclusion or next action

Sequential Thinking MCP Server

Sequential Thinking MCP Server

What This Skill Does

When to Use This Skill

Instructions for AI Agent

Step 1: Initial Assessment

Step 2: Sequential Development

Step 3: Revision When Needed

Step 4: Branching Alternative Paths

Step 5: Completion

Tool Parameters

Examples

Example 1: Simple Problem Breakdown

Example 2: Revision During Analysis

Example 3: Branching Reasoning Paths

Configuration

Important Notes

Reviews (0)