MCP Sequential Thinking Tools
The MCP Sequential Thinking Tools server helps break down complex problems into manageable steps through a flexible, adaptive thinking process. It provides:
Intelligent Tool Recommendations: Suggests appropriate tools with confidence scores, rationale, and execution priority
Dynamic Problem-Solving: Supports branching paths and revising previous thoughts as new insights emerge
Progress Tracking: Monitors completed steps and remaining tasks throughout the problem-solving process
Context Maintenance: Maintains relevance across multiple thinking steps while filtering out irrelevant information
Hypothesis Generation: Helps generate and verify solution hypotheses through sequential steps
Detailed Guidance: Offers step descriptions, expected outcomes, and specific input parameters for recommended tools
Configuration Flexibility: Works in various environments including Cline and Claude Desktop with WSL
Enables package installation and management through npx commands, allowing seamless integration of the MCP server into projects.
Supports Node.js version management in WSL environments, ensuring compatibility when running the MCP server across different Node versions.
Provides guidance for understanding and implementing Svelte 5 features, particularly its universal reactivity system, through recommended tools and sequential problem-solving steps.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Sequential Thinking ToolsHelp me plan how to analyze customer feedback data for our new product launch"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-sequentialthinking-tools
An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving. This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage.
A Model Context Protocol (MCP) server that combines sequential thinking with intelligent tool suggestions. For each step in the problem-solving process, it provides confidence-scored recommendations for which tools to use, along with rationale for why each tool would be appropriate.
Features
🤔 Dynamic and reflective problem-solving through sequential thoughts
🔄 Flexible thinking process that adapts and evolves
🌳 Support for branching and revision of thoughts
🛠️ Intelligent tool recommendations for each step
📊 Confidence scoring for tool suggestions
🔍 Detailed rationale for tool recommendations
📝 Step tracking with expected outcomes
🔄 Progress monitoring with previous and remaining steps
🎯 Alternative tool suggestions for each step
Related MCP server: Clear Thought Server
How It Works
This server analyses each step of your thought process and recommends appropriate MCP tools to help accomplish the task. Each recommendation includes:
A confidence score (0-1) indicating how well the tool matches the current need
A clear rationale explaining why the tool would be helpful
A priority level to suggest tool execution order
Alternative tools that could also be used
The server works with any MCP tools available in your environment. It provides recommendations based on the current step's requirements, but the actual tool execution is handled by the consumer (like Claude).
Example Usage
Here's an example of how the server guides tool usage:
{
"thought": "Initial research step to understand what universal reactivity means in Svelte 5",
"current_step": {
"step_description": "Gather initial information about Svelte 5's universal reactivity",
"expected_outcome": "Clear understanding of universal reactivity concept",
"recommended_tools": [
{
"tool_name": "search_docs",
"confidence": 0.9,
"rationale": "Search Svelte documentation for official information",
"priority": 1
},
{
"tool_name": "tavily_search",
"confidence": 0.8,
"rationale": "Get additional context from reliable sources",
"priority": 2
}
],
"next_step_conditions": [
"Verify information accuracy",
"Look for implementation details"
]
},
"thought_number": 1,
"total_thoughts": 5,
"next_thought_needed": true
}The server tracks your progress and supports:
Creating branches to explore different approaches
Revising previous thoughts with new information
Maintaining context across multiple steps
Suggesting next steps based on current findings
Configuration
This server requires configuration through your MCP client. Here are examples for different environments:
Cline Configuration
Add this to your Cline MCP settings:
{
"mcpServers": {
"mcp-sequentialthinking-tools": {
"command": "npx",
"args": ["-y", "mcp-sequentialthinking-tools"]
}
}
}Claude Desktop with WSL Configuration
For WSL environments, add this to your Claude Desktop configuration:
{
"mcpServers": {
"mcp-sequentialthinking-tools": {
"command": "wsl.exe",
"args": [
"bash",
"-c",
"source ~/.nvm/nvm.sh && /home/username/.nvm/versions/node/v20.12.1/bin/npx mcp-sequentialthinking-tools"
]
}
}
}API
The server implements a single MCP tool with configurable parameters:
sequentialthinking_tools
A tool for dynamic and reflective problem-solving through thoughts, with intelligent tool recommendations.
Parameters:
thought(string, required): Your current thinking stepnext_thought_needed(boolean, required): Whether another thought step is neededthought_number(integer, required): Current thought numbertotal_thoughts(integer, required): Estimated total thoughts neededis_revision(boolean, optional): Whether this revises previous thinkingrevises_thought(integer, optional): Which thought is being reconsideredbranch_from_thought(integer, optional): Branching point thought numberbranch_id(string, optional): Branch identifierneeds_more_thoughts(boolean, optional): If more thoughts are neededcurrent_step(object, optional): Current step recommendation with:step_description: What needs to be donerecommended_tools: Array of tool recommendations with confidence scoresexpected_outcome: What to expect from this stepnext_step_conditions: Conditions for next step
previous_steps(array, optional): Steps already recommendedremaining_steps(array, optional): High-level descriptions of upcoming steps
Development
Setup
Clone the repository
Install dependencies:
pnpm installBuild the project:
pnpm buildRun in development mode:
pnpm devPublishing
The project uses changesets for version management. To publish:
Create a changeset:
pnpm changesetVersion the package:
pnpm changeset versionPublish to npm:
pnpm releaseContributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT License - see the LICENSE file for details.
Acknowledgments
Built on the Model Context Protocol
Adapted from the MCP Sequential Thinking Server
Available Tools
1 toolsequentialthinking_toolsA
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.
IMPORTANT: When initializing this tool, you must pass all available tools that you want the sequential thinking process to be able to use. The tool will analyze these tools and provide recommendations for their use.
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
When you need guidance on which tools to use and in what order
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
Recommends appropriate tools for each step
Provides rationale for tool recommendations
Suggests tool execution order and parameters
Tracks previous recommendations and remaining steps
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
Tool recommendations and rationale
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
current_step: Current step recommendation, including:
step_description: What needs to be done
recommended_tools: Tools recommended for this step
expected_outcome: What to expect from this step
next_step_conditions: Conditions to consider for the next step
previous_steps: Steps already recommended
remaining_steps: High-level descriptions of upcoming steps
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
Consider available tools that could help with the current step
Provide clear rationale for tool recommendations
Suggest specific tool parameters when appropriate
Consider alternative tools for each step
Track progress through the recommended steps
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
| Name | Required | Description | Default |
|---|---|---|---|
| branch_from_thought | No | Branching point thought number | |
| branch_id | No | Branch identifier | |
| current_step | No | Current step recommendation | |
| is_revision | No | Whether this revises previous thinking | |
| needs_more_thoughts | No | If more thoughts are needed | |
| next_thought_needed | Yes | Whether another thought step is needed | |
| previous_steps | No | Steps already recommended | |
| remaining_steps | No | High-level descriptions of upcoming steps | |
| revises_thought | No | Which thought is being reconsidered | |
| thought | Yes | Your current thinking step | |
| thought_number | Yes | Current thought number | |
| total_thoughts | Yes | Estimated total thoughts needed |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behavioral traits such as adaptability ('adjust total_thoughts up or down'), revision capabilities ('question or revise previous thoughts'), and process flow ('Generates a solution hypothesis,' 'Verifies the hypothesis'), though it lacks details on error handling or performance limits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is excessively long and repetitive, with multiple sections (e.g., 'Key features,' 'Parameters explained,' 'You should') that overlap in content. It includes unnecessary verbosity, such as listing 15 'You should' items, which reduces clarity and efficiency without adding proportional value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's high complexity (12 parameters, nested objects) and no annotations or output schema, the description does a good job covering the tool's purpose, usage, and behavioral aspects. However, it lacks details on output format or error conditions, which are important for such a sophisticated tool, preventing a perfect score.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds some value by explaining the 'thought' parameter with examples (e.g., 'Regular analytical steps,' 'Hypothesis generation') and listing other parameters, but this largely repeats schema information, resulting in a baseline score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as 'dynamic and reflective problem-solving through thoughts' and 'analyze problems through a flexible thinking process,' which is specific and actionable. However, with no sibling tools provided, it cannot differentiate from alternatives, preventing a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description includes an explicit 'When to use this tool' section with 8 specific scenarios (e.g., 'Breaking down complex problems into steps,' 'Planning and design with room for revision'), providing clear guidance on when to apply this tool. No alternatives are mentioned due to no siblings, but the context is comprehensive.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v1.0.0- First observed
sequentialthinking_tools
TDQS
There is only one tool, so there is no ambiguity or overlap with other tools. The tool has a clearly defined and distinct purpose focused on sequential thinking and problem-solving.
With only one tool, naming consistency is inherently perfect. The tool name 'sequentialthinking_tools' uses snake_case, which is consistent within itself, and there are no other tools to cause inconsistency.
The server is named 'MCP Sequential Thinking Tools' and has only one tool, which suggests a thin or incomplete surface. For a domain focused on dynamic problem-solving and tool orchestration, a single tool may not adequately cover the expected scope, such as separate tools for planning, analysis, or verification steps.
The tool aims to handle complex problem-solving, planning, and tool recommendations, but as a single tool, it likely consolidates multiple functionalities into one interface. This can lead to gaps in modularity and clarity, as agents might expect separate tools for distinct phases like hypothesis generation, verification, or step tracking, rather than a monolithic solution.
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