Sequential Thinking MCP Server
by XD3an
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.
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What is Sequential Thinking MCP Server?
This server is a Python implementation of the Sequential Thinking MCP (Model Context Protocol) server. It allows AI models to break down complex problems into manageable steps, revise thoughts, and branch into alternative reasoning paths.
How to use Sequential Thinking MCP Server?
To use the server, you can run it directly using uv --directory "/path/to/sequential-thinking-mcp" run main.py or in development mode using the MCP CLI tools. Install the server in Claude Desktop using the MCP CLI for integration with AI assistants.
Key features of Sequential Thinking MCP Server
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
Use cases of Sequential Thinking MCP Server
Complex problem solving
Detailed analysis
AI-assisted reasoning
Hypothesis generation and verification
FAQ from Sequential Thinking MCP Server
What is MCP?
What is MCP?
The Model Context Protocol (MCP) is a standardized way for applications to provide context and tools to LLMs.
How do I install the MCP CLI tools?
How do I install the MCP CLI tools?
You can install them using pip install "mcp[cli]".
How do I run the server in development mode?
How do I run the server in development mode?
Use the command mcp dev "/path/to/sequential-thinking-mcp".
What resources does the server provide?
What resources does the server provide?
The server provides resources like thoughts://history, thoughts://branches/{branch_id}, and thoughts://summary for accessing thought data.
What is the sequential_thinking tool?
What is the sequential_thinking tool?
The sequential_thinking tool allows you to define individual thoughts within the sequence, including parameters like thought, thoughtNumber, totalThoughts, and branching information.