ThoughtMCP

AI that thinks more like humans do.

ThoughtMCP gives AI systems human-like thinking capabilities. Instead of just processing text, it can think systematically, remember experiences, and check its own reasoning quality.

🚀 Production Ready: 789 tests, 79.63% coverage, stable API, ready for real-world use.

What Makes It Different?

Most AI systems process text once and respond. ThoughtMCP implements multiple thinking systems inspired by cognitive science:

🧠 Human-Like Thinking

• Dual-Process Reasoning: Fast intuitive responses (System 1) and careful deliberation (System 2)

• Multiple Reasoning Modes: Analytical, creative, critical, and synthetic thinking

• Metacognitive Awareness: Self-monitoring with bias detection and reasoning quality assessment

• Systematic Problem-Solving: Automatic framework selection (Design Thinking, Scientific Method, Root Cause Analysis, etc.)

💾 Sophisticated Memory Systems

• Episodic Memory: Remembers specific experiences with emotional context

• Semantic Memory: Stores general knowledge and concepts

• Memory Management: Smart forgetting, archiving, and consolidation

• Context-Aware Retrieval: Finds relevant memories based on similarity and associations

🔀 Advanced Problem-Solving

• Parallel Reasoning: Multiple reasoning streams working simultaneously

• Problem Decomposition: Breaks complex problems into manageable parts with dependency mapping

• Framework Selection: Automatically chooses optimal thinking frameworks based on problem type

• Quality Control: Continuous reasoning validation and improvement suggestions

⚡ Production Ready

• 789 comprehensive tests with 79.63% coverage

• Multiple thinking modes for different scenarios

• Configurable behavior for your specific needs

• Robust error handling with graceful degradation

Quick Start

1. Install and Setup

Option A: NPX (Recommended - No Installation Required)

Option B: Local Development Setup

🤖 Use in Your AI Environment

ThoughtMCP works with popular AI development environments:

• Kiro IDE - Workspace and user-level configuration

• Claude Desktop - Desktop app integration

• Cursor IDE - VS Code-based AI coding

• Void Editor - Modern AI editor

• Generic MCP - Any MCP-compatible system

Quick Kiro Setup (Local Development):

Quick Kiro Setup (NPX - Recommended):

👉 Complete Integration Guide | Environment-Specific Setup

MCP Server Configuration

ThoughtMCP can be configured as an MCP server using environment variables. All configuration options are optional and have sensible defaults.

Environment Variables

Example Configurations

Kiro IDE Configuration

Claude Desktop Configuration

High-Performance Configuration

Creative Mode Configuration

2. Try Your First Example

Ask ThoughtMCP to help with a decision:

What happens:

• Analyzes your question systematically

• Considers multiple factors and perspectives

• Provides structured reasoning with confidence levels

• Suggests ways to improve the decision-making process

3. Build Knowledge Over Time

Store important insights:

Recall relevant knowledge:

The Complete Cognitive Toolkit

🧠 Think - Human-Like Reasoning

Process complex questions using sophisticated cognitive architecture:

• Dual-Process Thinking: System 1 (intuitive) and System 2 (deliberative) processing

• Multiple Modes: Intuitive, deliberative, creative, analytical, and balanced approaches

• Metacognitive Monitoring: Self-assessment with bias detection and quality control

• Emotional Processing: Somatic markers and emotional context integration

• Stochastic Neural Processing: Realistic neural noise and enhancement patterns

💾 Remember - Build Knowledge

Store experiences and insights with sophisticated memory systems:

• Episodic Memory: Specific experiences with emotional context and importance weighting

• Semantic Memory: General knowledge with concept relationships and associations

• Memory Consolidation: Automatic pattern extraction and knowledge integration

• Emotional Tagging: Rich emotional context for better recall and decision-making

🔍 Recall - Intelligent Retrieval

Retrieve past experiences and knowledge with advanced search capabilities:

• Similarity Matching: Vector-based semantic similarity with activation spreading

• Context-Aware Search: Considers current situation and emotional state

• Cross-Memory Integration: Searches both episodic experiences and semantic knowledge

• Confidence Scoring: Provides reliability metrics for retrieved information

🔬 Analyze Reasoning - Quality Assurance

Comprehensive reasoning quality assessment and improvement:

• Bias Detection: Identifies tunnel vision, confirmation bias, and other cognitive errors

• Logic Validation: Evaluates argument structure and evidence support

• Confidence Calibration: Assesses certainty levels and suggests evidence gathering

• Improvement Recommendations: Specific suggestions for better reasoning

🎯 Analyze Systematically - Framework-Based Problem Solving

Apply proven thinking frameworks automatically:

• Auto Framework Selection: Chooses optimal approach (Design Thinking, Scientific Method, Root Cause Analysis, etc.)

• Structured Analysis: Breaks problems into systematic steps with clear methodology

• Multiple Perspectives: Considers alternative approaches and trade-offs

• Evidence-Based Recommendations: Provides reasoning for framework choice and confidence levels

🔀 Think Parallel - Multi-Stream Reasoning

Process problems through multiple reasoning streams simultaneously:

• Analytical Stream: Logical, evidence-based reasoning with systematic evaluation

• Creative Stream: Innovative approaches with unconventional alternatives

• Critical Stream: Bias detection, assumption challenging, and quality assessment

• Synthetic Stream: Integration of perspectives with holistic solution development

• Real-Time Coordination: Streams share insights, resolve conflicts, and build consensus

🧩 Decompose Problem - Complex Problem Breakdown

Break down complex challenges into manageable, prioritized components:

• Hierarchical Decomposition: Multi-level problem breakdown with clear structure

• Dependency Mapping: Identifies relationships and constraints between sub-problems

• Priority Ranking: Determines optimal execution order based on impact and urgency

• Critical Path Analysis: Highlights bottlenecks and key dependencies for efficient execution

• Multiple Strategies: Functional, temporal, stakeholder, and component-based approaches

🧠 Memory Management - Advanced Memory Operations

Sophisticated memory optimization and management capabilities:

• Memory Analysis: Comprehensive usage analysis with optimization recommendations

• Smart Forgetting: Selective forgetting of low-importance and rarely-accessed memories

• Memory Recovery: Advanced recovery of degraded memories using associative cues

• Policy Management: Configurable forgetting policies with user consent controls

• Audit Trails: Complete forgetting audit logs with impact assessment and rollback capabilities

🎯 Analyze Systematically - Framework-Based Problem Solving

Apply proven thinking frameworks automatically:

• Auto framework selection: Chooses optimal approach (Design Thinking, Scientific Method, Root Cause Analysis, etc.)

• Structured analysis: Breaks problems into systematic steps

• Multiple perspectives: Considers alternative approaches

• Evidence-based recommendations: Provides reasoning for framework choice

🔀 Think Parallel - Multi-Stream Reasoning

Process problems through multiple reasoning streams simultaneously:

• Analytical stream: Logical, evidence-based reasoning

• Creative stream: Innovative and unconventional approaches

• Critical stream: Bias detection and assumption challenging

• Synthetic stream: Integration and holistic perspective

• Real-time coordination: Streams share insights and resolve conflicts

🧩 Decompose Problem - Complex Problem Breakdown

Break down complex challenges into manageable components:

• Hierarchical decomposition: Multi-level problem breakdown

• Dependency mapping: Identifies relationships between sub-problems

• Priority ranking: Determines optimal execution order

• Critical path analysis: Highlights bottlenecks and key dependencies

• Multiple strategies: Functional, temporal, stakeholder, and component-based approaches

Real-World Examples

See ThoughtMCP in action with practical scenarios:

• Customer Support Agent - Solving technical problems systematically

• Personal Finance Advisor - Making complex financial decisions

• Recipe Recommendation - Personalized suggestions with constraints

• Study Buddy - Helping students learn effectively

• Travel Planning - Complex multi-constraint planning

Each example shows:

• The real-world problem

• Step-by-step tool usage

• How cognitive thinking improves outcomes

• Lessons you can apply to your own use cases

Documentation

🚀 New to ThoughtMCP?

• Getting Started - 5-minute tutorial and basic concepts

• Installation Guide - Detailed setup instructions

• Basic Concepts - How human-like thinking works

• Examples - From simple to complex real-world scenarios

👩‍💻 For Developers

• API Reference - Complete tool documentation and schemas

• Integration Guide - Add to your applications

• Agentic Environments - Configure in Kiro, Claude, Cursor, Void, and more

• Configuration - Customize behavior and performance

• Troubleshooting - Common issues and solutions

🧠 Understanding the Architecture

• Architecture Overview - How the cognitive system works

• Cognitive Components - Individual system details

• Research Background - Academic foundations and algorithms

• Performance Benchmarks - Speed and accuracy metrics

🛠️ Contributing

• Development Setup - Set up for development

• Contributing Guide - How to contribute effectively

• Architecture for Developers - Codebase structure

• Testing Guide - Writing and running tests

📚 Documentation & Examples

Comprehensive Documentation

• Complete API Reference - Detailed documentation for all four cognitive tools

• Cognitive Architecture Guide - Deep dive into the human-like reasoning system

• Performance & Benchmarking - Optimization strategies and performance testing

Practical Examples

• Example Applications - Complete working examples demonstrating all features

• Integration Patterns - Real-world integration examples

• Performance Testing - Automated benchmarking tools

Quick Links

• 🚀 Quick Start Guide - Get up and running in minutes

• 🔧 Configuration Guide - Tune the system for your needs

• 🏗️ Development Setup - Contributing to the project

Why Choose ThoughtMCP?

For AI Applications

• Better Decision Making: Considers multiple perspectives and checks reasoning quality

• Continuous Learning: Gets smarter over time by remembering experiences

• Transparency: Shows reasoning process and confidence levels

• Adaptability: Different thinking modes for different types of problems

For Developers

• Production Ready: 789 tests, comprehensive error handling, performance monitoring

• Easy Integration: Standard MCP protocol, clear API, extensive documentation

• Configurable: Tune behavior for your specific use case and performance needs

• Open Source: MIT license, active community, extensible architecture

For Researchers

• Scientifically Grounded: Based on established cognitive science research

• Comprehensive Implementation: Full dual-process theory, memory systems, metacognition

• Benchmarked Performance: Validated against cognitive psychology principles

• Extensible Design: Add new cognitive components and reasoning strategies

Community and Support

• 📖 Documentation: Comprehensive guides from beginner to advanced

• 💬 GitHub Discussions: Ask questions and share ideas

• 🐛 Issues: Report bugs and request features

• 🤝 Contributing: Join our community of contributors

• 📧 Contact: Reach out to @keyurgolani

Project Status

• ✅ Stable API: All four cognitive tools fully implemented

• ✅ Production Ready: 789 tests with 79.63% coverage

• ✅ Well Documented: Comprehensive documentation for all user levels

• ✅ Active Development: Regular updates and community contributions

• ✅ Open Source: MIT license, community-driven development

Ready to give your AI human-like thinking capabilities?

👉 Get Started in 5 Minutes | 📚 View Documentation | 🤝 Join Community