Home / MCP / Sequential Thinking MCP Server
Provides a structured, stage-based MCP server to capture, organize, and summarize progressive thinking.
Configuration
View docs{
"mcpServers": {
"sequential_thinking": {
"command": "uv",
"args": [
"--directory",
"C:\\path\\to\\your\\mcp-sequential-thinking\\run_server.py",
"run",
"server.py"
]
}
}
}The Sequential Thinking MCP Server provides a structured, stage-based environment to capture, organize, and summarize your thinking process. It guides you through Problem Definition, Research, Analysis, Synthesis, and Conclusion while persisting thoughts and enabling easy export or review.
You interact with the server using an MCP client to record thoughts in sequence and to generate a concise summary of your entire thinking process. Start by adding the first thought in your defined sequence, then continue by adding subsequent thoughts one by one as you progress through each thinking stage. Use the summary tool to get an overview of all stages and how your thoughts connect over time. When you’re done, you can clear the history to reset the session or reuse the structure for a new problem.
Key actions you will perform regularly:
Prerequisites you need before installing the server are Python 3.10 or higher and the UV package manager for running MCP servers. Ensure you have a supported environment ready for development and execution.
# Create and activate a virtual environment
uv venv
.venv\Scripts\activate # Windows
source .venv/bin/activate # Unix/Linux/macOS
# Install the MCP package in editable mode
uv pip install -e .
# Optional development dependencies
uv pip install -e ".[dev]"
# Optional all dependencies
uv pip install -e ".[all]"Run the server directly from the source tree or via the installed script.
# Run directly from source
uv run -m mcp_sequential_thinking.server
# Or use the installed CLI if available
mcp-sequential-thinkingYou can integrate with clients or editors that support MCP by using the standard tools and commands demonstrated in the usage sections. There are also several explicit configuration examples for desktop integrations that show how to wire the server into external tooling.
The server supports multiple ways to run and connect. You can run a local instance with the standard runtime command or install the package and invoke the CLI. When you configure clients, you simply point them at the running MCP endpoint and use the provided tools to record thoughts, generate summaries, or reset the session.
If you encounter issues starting the server, verify your Python version, ensure the virtual environment is activated, and confirm that the required dependencies are installed. Check for common permission or path errors, especially on Windows when setting a directory for server files. Network and file access permissions may affect persistent storage and cross-session tracking.
Records and analyzes a new thought in your sequential thinking process with stage, number, and optional metadata like tags and axioms.
Produces a concise overview of the entire thinking sequence including the total number of thoughts and the per-stage distribution.
Resets the thinking process by clearing all recorded thoughts.