@XD3an
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"python-sequential-thinking-mcp": {
"command": "uv",
"args": [
"--directory",
"/path/to/sequential-thinking-mcp",
"run",
"main.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
This server implements the Model Context Protocol (MCP) to provide a sequential thinking process for step-by-step problem solving and analysis. It allows AI assistants like Claude to break down complex problems into manageable thoughts, revise them, branch into alternative reasoning paths, and generate/verify hypotheses.
Run directly with uv --directory "/path/to/sequential-thinking-mcp" run main.py. For development use mcp dev "/path/to/sequential-thinking-mcp" after installing the MCP CLI. Integrate with Claude Desktop by adding the server configuration to the assistant’s MCP settings or using mcp install. The server exposes the sequential_thinking tool and three resources for thought history, branches, and summary.
The `sequential_thinking` tool accepts parameters: `thought` (string), `thoughtNumber` (integer), `totalThoughts` (integer), `nextThoughtNeeded` (boolean), and optional fields such as `isRevision`, `revisesThought`, `branchFromThought`, `branchId`, and `needsMoreThoughts`.
Use the MCP CLI (`mcp install`) to add the server to Claude Desktop, or declare it in the assistant's MCP configuration with the command `uv --directory /path/ run main.py`.
The server provides `thoughts://history` for the complete thought history, `thoughts://branches/{branch_id}` for thoughts in a specific branch, and `thoughts://summary` for an overview of all thoughts and branches.
Python 3, the MCP Python SDK (`pip install "mcp[cli]"`), and the `uv` package manager are required. The README also shows using `npx @modelcontextprotocol/inspector` for inspection.
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