What is Python Sequential Thinking Mcp

python-sequential-thinking-mcp is a Python implementation of the Sequential Thinking MCP server that utilizes the official Model Context Protocol (MCP) Python SDK. It enables a detailed, step-by-step approach to problem-solving and analysis.

Use cases

Use cases for python-sequential-thinking-mcp include educational tools for teaching critical thinking, research analysis for breaking down complex theories, software development for debugging and problem-solving, and personal productivity applications that help users organize their thoughts.

How to use

To use python-sequential-thinking-mcp, you can run it directly with the command ‘uv --directory “/path/to/sequential-thinking-mcp” run main.py’. For development, install the MCP CLI tools and run it in development mode using ‘mcp dev “/path/to/sequential-thinking-mcp”’.

Key features

Key features include breaking down complex problems into manageable steps, revising thoughts as understanding deepens, branching into alternative paths of reasoning, dynamically adjusting the total number of thoughts, and generating and verifying solution hypotheses.

Where to use

python-sequential-thinking-mcp can be used in fields such as education, research, software development, and any domain that requires structured problem-solving and analytical thinking.

Sequential Thinking MCP Server (Python Implementation)

A Python implementation of the Sequential Thinking MCP server using the official Model Context Protocol (MCP) Python SDK. This server facilitates a detailed, step-by-step thinking process for problem-solving and analysis.

Features

• Break down complex problems into manageable steps
• Revise and refine thoughts as understanding deepens
• Branch into alternative paths of reasoning
• Adjust the total number of thoughts dynamically
• Generate and verify solution hypotheses

Usage

Running Directly

uv --directory "/path/to/sequential-thinking-mcp" run main.py

Development Mode

For development and testing, you can use the MCP CLI tools:

# Install MCP CLI tools
pip install "mcp[cli]"

# Run in development mode
mcp dev "/path/to/sequential-thinking-mcp"

# npx @modelcontextprotocol/inspector
npx @modelcontextprotocol/inspector uv --diectory "/path/to/sequential-thinking-mcp" run main.py

Integration

mcp install "\path\to\sequential-thinking-mcp\server.py"

{
  "mcpServers": {
    "sequential-thinking": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/sequential-thinking-mcp",
        "run",
        "main.py"
      ]
    }
  }
}

Sequential Thinking Tool

The server provides a tool called sequential_thinking with the following parameters:

• thought (string): The current thinking step
• thoughtNumber (integer): Current thought number
• totalThoughts (integer): Estimated total thoughts needed
• nextThoughtNeeded (boolean): Whether another thought step is needed
• isRevision (boolean, optional): Whether this revises previous thinking
• revisesThought (integer, optional): Which thought is being reconsidered
• branchFromThought (integer, optional): Branching point thought number
• branchId (string, optional): Branch identifier
• needsMoreThoughts (boolean, optional): If more thoughts are needed

Resources

The server provides the following resources for accessing thought data:

• thoughts://history: Get the complete thought history
• thoughts://branches/{branch_id}: Get thoughts for a specific branch
• thoughts://summary: Get a summary of all thoughts and branches

Prompts

• thinking_process_guide: Guide for using the sequential thinking process

Example Usage

# First thought
sequential_thinking(
    thought="First, we need to understand the problem requirements.",
    thoughtNumber=1,
    totalThoughts=5,
    nextThoughtNeeded=True
)

# Second thought
sequential_thinking(
    thought="Now, let's analyze the key constraints.",
    thoughtNumber=2,
    totalThoughts=5,
    nextThoughtNeeded=True
)

# Revise a thought
sequential_thinking(
    thought="Actually, we need to clarify the problem requirements first.",
    thoughtNumber=1,
    totalThoughts=5,
    nextThoughtNeeded=True,
    isRevision=True,
    revisesThought=1
)

# Branch from thought 2
sequential_thinking(
    thought="Let's explore an alternative approach.",
    thoughtNumber=3,
    totalThoughts=5,
    nextThoughtNeeded=True,
    branchFromThought=2,
    branchId="alternative-approach"
)

Integration with Claude or Other AI Assistants

To use this server with Claude or other AI assistants that support MCP:

1. Install the MCP server in Claude Desktop using the MCP CLI
2. The AI can then use the sequential_thinking tool to break down complex problems

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for applications to provide context and tools to LLMs. It allows:

• Resources: Providing contextual data to the LLM
• Tools: Exposing functionality for the LLM to take actions
• Prompts: Defining reusable templates for LLM interactions

For more information, visit modelcontextprotocol.io

License

MIT License. See LICENSE for details.