Clear Thought MCP Server

A Model Context Protocol (MCP) server that provides systematic thinking, mental models, and debugging approaches for enhanced problem-solving capabilities.

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

Prerequisites

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

Installation

Installing via Smithery

To install clear-thought-mcp-server for Claude Desktop automatically via Smithery:

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

1. Clone the repository:

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

Then navigate to the project directory:

cd clear-thought-mcp-server

2. Install dependencies:

npm install

3. Build the project:

npm run build

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

Using with MCP Clients

The server can be used with any MCP-compatible client. Here are some examples:

Using with the MCP Inspector

1. Install the MCP Inspector:

npm install -g @modelcontextprotocol/inspector

2. Run the server:

npm start

3. 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.

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)

Author

Chirag Singhal (@chirag127)

License

MIT