A Model Context Protocol (MCP) server that facilitates structured, progressive thinking through defined stages. This tool helps break down complex problems into sequential thoughts, track the progression of your thinking process, and generate summaries.

• Structured Thinking Framework: Organizes thoughts through standard cognitive stages (Problem Definition, Research, Analysis, Synthesis, Conclusion)
• Thought Tracking: Records and manages sequential thoughts with metadata
• Related Thought Analysis: Identifies connections between similar thoughts
• Progress Monitoring: Tracks your position in the overall thinking sequence
• Summary Generation: Creates concise overviews of the entire thought process

• Python 3.11 or higher
• UV package manager (Install Guide)

mcp-sequential-thinking/
├── mcp_sequential_thinking/
│   ├── server.py
│   └── __init__.py
├── README.md
└── pyproject.toml

1. Set Up Project

   # Create and activate virtual environment
   uv venv
   .venv\Scripts\activate  # Windows
   source .venv/bin/activate  # Unix
   
   # Install package and dependencies
   uv pip install -e .

2. Run the Server

   cd mcp_sequential_thinking
   uv run server.py

Add to your Claude Desktop configuration (%APPDATA%\Claude\claude_desktop_config.json on Windows):

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\path\\to\\your\\mcp-sequential-thinking\\mcp_sequential_thinking",
        "run",
        "server.py"
      ]
    }
  }
}

The server maintains a history of thoughts and processes them through a structured workflow. Each thought is validated, categorized, and stored with relevant metadata for later analysis.

The Sequential Thinking server exposes three main tools:

Records and analyzes a new thought in your sequential thinking process.

Parameters:

• thought (string): The content of your thought
• thought_number (integer): Position in your sequence (e.g., 1 for first thought)
• total_thoughts (integer): Expected total thoughts in the sequence
• next_thought_needed (boolean): Whether more thoughts are needed after this one
• stage (string): The thinking stage - must be one of:
  • "Problem Definition"
  • "Research"
  • "Analysis"
  • "Synthesis"
  • "Conclusion"
• tags (list of strings, optional): Keywords or categories for your thought
• axioms_used (list of strings, optional): Principles or axioms applied in your thought
• assumptions_challenged (list of strings, optional): Assumptions your thought questions or challenges

Example:

# First thought in a 5-thought sequence
process_thought(
    thought="The problem of climate change requires analysis of multiple factors including emissions, policy, and technology adoption.",
    thought_number=1,
    total_thoughts=5,
    next_thought_needed=True,
    stage="Problem Definition",
    tags=["climate", "global policy", "systems thinking"],
    axioms_used=["Complex problems require multifaceted solutions"],
    assumptions_challenged=["Technology alone can solve climate change"]
)

Generates a summary of your entire thinking process.

Example output:

{
  "summary": {
    "totalThoughts": 5,
    "stages": {
      "Problem Definition": 1,
      "Research": 1,
      "Analysis": 1,
      "Synthesis": 1,
      "Conclusion": 1
    },
    "timeline": [
      {"number": 1, "stage": "Problem Definition"},
      {"number": 2, "stage": "Research"},
      {"number": 3, "stage": "Analysis"},
      {"number": 4, "stage": "Synthesis"},
      {"number": 5, "stage": "Conclusion"}
    ]
  }
}

Resets the thinking process by clearing all recorded thoughts.

• Decision Making: Work through important decisions methodically
• Problem Solving: Break complex problems into manageable components
• Research Planning: Structure your research approach with clear stages
• Writing Organization: Develop ideas progressively before writing
• Project Analysis: Evaluate projects through defined analytical stages

With the proper MCP setup, simply use the process_thought tool to begin working through your thoughts in sequence. As you progress, you can get an overview with generate_summary and reset when needed with clear_history.

For detailed examples of how to customize and extend the Sequential Thinking server, see example.md. It includes code samples for:

• Modifying thinking stages
• Enhancing thought data structures
• Adding persistence
• Implementing enhanced analysis
• Creating custom prompts
• Setting up advanced configurations

MIT License