Clear-thought MCP Server: Enhance Problem-solving with MCP Protocol and Thinking Framework

Clear Thought MCP Server

A server based on the Model Context Protocol (MCP) that provides systematic thinking, mental models, and debugging methods to enhance problem-solving abilities, including a variety of thinking frameworks and programming paradigm tools.

Education and learning tools Developer tools #Thinking tools #Problem-solving #Programming paradigms #Debugging methods .TypeScript

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update time : 2025-12-04

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What is Clear Thought MCP Server?

Clear Thought MCP Server is a thinking enhancement tool that helps users analyze and solve problems more effectively by providing systematic thinking frameworks, mental models, and debugging methods. It integrates a variety of thinking tools, including first-principles thinking, the Pareto principle, and the scientific method, which can be applied in multiple fields such as programming, decision-making, and problem analysis.

How to use Clear Thought MCP Server?

Using Clear Thought MCP Server is very simple: First, install the server through Smithery or manually. Then, configure the connection in a client that supports the MCP protocol (such as Claude Desktop). After installation, you can call various thinking tools in the conversation to assist with analysis and decision-making.

Applicable scenarios

Clear Thought MCP Server is particularly suitable for the following scenarios: complex problem analysis, technical decision-making, code debugging and optimization, system architecture design, team collaboration discussions, and building thinking frameworks when learning new concepts. Both technical and non-technical personnel can benefit from it.

Main features

Mental models

Provides a variety of thinking frameworks, including first-principles thinking, opportunity cost analysis, understanding of error propagation, rubber duck debugging, the Pareto principle, Occam's Razor, etc., to help users analyze problems from different perspectives.

Design patterns

Includes modular architecture, API integration patterns, state management, asynchronous processing, scalability considerations, security best practices, proxy design patterns, etc., suitable for system design and development.

Programming paradigms

Covers 10 programming paradigms, including imperative programming, object-oriented programming, functional programming, declarative programming, logic programming, event-driven programming, aspect-oriented programming, concurrent programming, and reactive programming.

Debugging methods

Provides a variety of systematic debugging methods, such as binary search, reverse engineering, divide and conquer, backtracking, cause elimination, and program slicing, to help quickly locate and solve problems.

Sequential thinking

Supports a structured thinking process, including revision and branch support, progress tracking, and context maintenance, suitable for step-by-step analysis of complex problems.

Collaborative reasoning

Supports multi-role problem-solving, integration of diverse expertise, structured debate and consensus building, and perspective synthesis, suitable for team collaboration scenarios.

Decision framework

Provides structured decision analysis, multiple evaluation methods, criteria weighting, and handling of risks and uncertainties to help make more informed decisions.

Metacognitive monitoring

Includes assessment of knowledge boundaries, evaluation of claim certainty, detection of reasoning biases, confidence calibration, and identification of uncertainties to help users understand their cognitive state.

Scientific method

Provides structured hypothesis testing, variable identification, prediction formulation, experimental design, and evidence evaluation, suitable for systematic research and verification.

Structured argumentation

Supports formal dialectical reasoning, thesis-antithesis-synthesis argumentation, analysis of argument strength, premise evaluation, and mapping of logical structures, suitable for complex debates and analysis.

Visual reasoning

Provides chart representation, visual problem-solving, analysis of spatial relationships, concept mapping, and generation of visual insights, suitable for visual thinking and analysis.

Advantages

Provides a systematic thinking framework to avoid fragmented thinking.

Integrates multiple mental models, suitable for different scenarios and problem types.

Supports collaborative reasoning, suitable for team discussions and decision-making.

Includes metacognitive tools to help users understand their thinking process.

Is compatible with mainstream AI clients, easy to integrate and use.

Is an open-source project, continuously improved by the community.

Limitations

Requires a certain learning cost to master various thinking tools.

Some advanced functions may require a technical background to fully utilize.

Depends on MCP protocol support, and some clients may not be compatible.

The selection of thinking tools requires users to make their own judgments, without automatic recommendations.

May seem overly complex for simple problems.

How to use

Install the Node.js environment

Ensure that your system has Node.js 18.x or a higher version installed, as well as npm 9.x or a higher version.

Automatically install via Smithery

The easiest way is to automatically install it to the Claude Desktop client via Smithery.

Manual installation (optional)

If you want to install it manually or for development, you can clone the repository and build the project.

Start the server

Start the MCP server, which will communicate with the client through standard input and output.

Configure the client

Configure the server connection in a client that supports MCP (such as Claude Desktop), and then you can start using various thinking tools.

Usage examples

System architecture analysis

When designing or evaluating the architecture of a complex system, you can use first-principles thinking to break down the problem, use design pattern tools to select appropriate architecture patterns, and use the decision framework to evaluate the pros and cons of different solutions.

Code debugging and optimization

When encountering difficult-to-locate bugs or performance issues, you can use binary search to quickly narrow down the problem scope, use rubber duck debugging to sort out your thoughts, and use the Pareto principle to optimize the most important performance bottlenecks.

Team decision-making

When a team needs to make important technical decisions, you can use collaborative reasoning tools to integrate the views of different members, use structured argumentation to analyze the logic of various solutions, and use the decision framework for systematic evaluation.

Learning new concepts

When learning complex new technologies or concepts, you can use sequential thinking tools to gradually build understanding, use visual reasoning tools to create concept maps, and use metacognitive monitoring to evaluate your level of mastery.

Frequently Asked Questions

Is Clear Thought MCP Server suitable for non-technical personnel?

Do I need programming knowledge to use this server?

Which AI clients is this server compatible with?

How to choose the thinking tool suitable for the current problem?

Is this server free?

How to get help if I encounter problems?

Related resources

GitHub repository

Project source code, issue tracking, and contribution guidelines

Model Context Protocol documentation

Official specification and documentation of the MCP protocol

Smithery platform

One-click installation and server discovery platform

MCP Inspector tool

MCP server debugging and testing tool

Mental model learning resources

Detailed introduction and cases of various mental models

🚀 Clear Thought MCP Server

A Model Context Protocol (MCP) server that offers systematic thinking, mental models, and debugging approaches to enhance problem - solving capabilities.

🚀 Quick Start

This server provides a range of tools and features to improve problem - solving. Before you start, make sure you meet the prerequisites and follow the installation steps.

✨ Features

Mental Models

First Principles Thinking
Opportunity Cost Analysis
Error Propagation Understanding
Rubber Duck Debugging
Pareto Principle
Occam's Razor

Design Patterns

Modular Architecture
API Integration Patterns
State Management
Asynchronous Processing
Scalability Considerations
Security Best Practices
Agentic Design Patterns

Programming Paradigms

Imperative Programming
Procedural Programming
Object - Oriented Programming
Functional Programming
Declarative Programming
Logic Programming
Event - Driven Programming
Aspect - Oriented Programming
Concurrent Programming
Reactive Programming

Debugging Approaches

Binary Search
Reverse Engineering
Divide and Conquer
Backtracking
Cause Elimination
Program Slicing

Sequential Thinking

Structured thought process
Revision and branching support
Progress tracking
Context maintenance

Collaborative Reasoning

Multi - persona problem - solving
Diverse expertise integration
Structured debate and consensus building
Perspective synthesis

Decision Framework

Structured decision analysis
Multiple evaluation methodologies
Criteria weighting
Risk and uncertainty handling

Metacognitive Monitoring

Knowledge boundary assessment
Claim certainty evaluation
Reasoning bias detection
Confidence calibration
Uncertainty identification

Scientific Method

Structured hypothesis testing
Variable identification
Prediction formulation
Experimental design
Evidence evaluation

Structured Argumentation

Formal dialectical reasoning
Thesis - antithesis - synthesis
Argument strength analysis
Premise evaluation
Logical structure mapping

Visual Reasoning

Diagrammatic representation
Visual problem - solving
Spatial relationship analysis
Conceptual mapping
Visual insight generation

📦 Installation

Prerequisites

Node.js 18.x or higher
npm 9.x or higher

Installing via Smithery

To install clear - thought - mcp - server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@chirag127/clear - thought - mcp - server):

npx -y @smithery/cli install @chirag127/clear - thought - mcp - server --client claude

Manual Installation

Clone the repository:

git clone https://github.com/chirag127/clear - thought - mcp - server.git

Then navigate to the project directory:

cd clear - thought - mcp - server

Install dependencies:

npm install

Build the project:

npm run build

💻 Usage Examples

Basic Usage

Running the Server

Start the server with:

npm start

This will start the MCP server using stdio transport, which can be connected to by MCP clients.

Development Mode

For development with automatic reloading:

npm run dev

Advanced Usage

Using with the MCP Inspector

Install the MCP Inspector:

npm install -g @modelcontextprotocol/inspector

Run the server:

npm start

In another terminal, connect the inspector:

mcp - inspector --stdio "node dist/index.js"

Using with LLM Applications

The server can be integrated with LLM applications that support the Model Context Protocol. Refer to the MCP documentation for specific integration details.

📚 Documentation

Tool Selection Guide

Each tool in the Clear Thought MCP Server has specific strengths. Here are some scenarios where each tool might be particularly useful:

Mental Models

Best suited for:

Initial problem understanding
Breaking down complex systems
Analyzing trade - offs
Finding root causes
Making strategic decisions

Example scenarios:

Analyzing system architecture choices
Evaluating competing solutions
Understanding error patterns

Design Patterns

Best suited for:

Implementing proven solutions
Structuring new features
Ensuring maintainable code
Scaling applications
Managing technical debt

Example scenarios:

Building new system components
Refactoring existing code
Implementing cross - cutting concerns

Programming Paradigms

Best suited for:

Selecting appropriate coding approaches
Understanding language strengths
Optimizing for specific problem types
Balancing trade - offs in implementation

Example scenarios:

Choosing between OOP and functional approaches
Implementing concurrent systems
Designing reactive applications

Debugging Approaches

Best suited for:

Troubleshooting issues
Performance optimization
System analysis
Error resolution
Quality assurance

Example scenarios:

Fixing production issues
Optimizing slow processes
Resolving integration problems

Sequential Thinking

Best suited for:

Complex problem - solving
Multi - step analysis
Decision refinement
Process improvement
Comprehensive planning

Example scenarios:

Planning major features
Analyzing system - wide changes
Making architectural decisions

Collaborative Reasoning

Best suited for:

Complex, multi - faceted problems
Situations requiring diverse expertise
Controversial or high - stakes decisions
Innovation and ideation

Example scenarios:

Architectural design decisions
Product strategy development
Risk assessment and mitigation

Decision Framework

Best suited for:

Structured choice between alternatives
Risk - aware decision making
Multi - criteria evaluation
Stakeholder - sensitive decisions

Example scenarios:

Technology selection
Resource allocation
Strategic planning

Metacognitive Monitoring

Best suited for:

Assessing knowledge boundaries
Evaluating claim certainty
Detecting reasoning biases
Calibrating confidence
Identifying areas of uncertainty

Example scenarios:

Evaluating expertise in unfamiliar domains
Assessing confidence in predictions
Identifying potential biases in analysis
Determining when to seek additional information

Scientific Method

Best suited for:

Systematic hypothesis testing
Empirical investigation
Causal analysis
Evidence - based reasoning
Iterative refinement of understanding

Example scenarios:

Investigating system behavior
Testing causal relationships
Evaluating competing explanations
Designing controlled experiments

Structured Argumentation

Best suited for:

Formal dialectical reasoning
Analyzing complex debates
Evaluating competing positions
Synthesizing diverse viewpoints
Constructing logical arguments

Example scenarios:

Evaluating the strength of arguments
Identifying logical fallacies
Constructing persuasive cases
Resolving conflicting perspectives

Visual Reasoning

Best suited for:

Spatial problem - solving
Conceptual mapping
Pattern recognition
Relationship visualization
Complex system modeling

Example scenarios:

Diagramming system architecture
Visualizing data relationships
Mapping conceptual spaces
Creating visual explanations

Note: These are suggestions rather than rules. Tools can be used in any order or combination that best serves your needs.

Project Structure

clear - thought - mcp - server/
├── dist/               # Compiled JavaScript files
├── src/                # TypeScript source code
│   ├── models/         # Data interfaces
│   ├── tools/          # Tool implementations
│   └── index.ts        # Main server entry point
├── package.json        # Project dependencies and scripts
├── tsconfig.json       # TypeScript configuration
└── README.md           # Project documentation

Tech Stack

TypeScript
Node.js
Model Context Protocol SDK
Zod (for validation)

🔧 Technical Details

The server is built using TypeScript on top of Node.js. It utilizes the Model Context Protocol SDK and Zod for validation. The project structure is well - organized, with source code in the src directory and compiled JavaScript files in the dist directory.