MCP-Booster is an MCP server that provides Continuous Chain of Thought (CoConuT) reasoning capabilities to development environments such as Cursor. It connects language models directly to structured reasoning workflows, enabling developers, tech leads, and software engineers to execute multi-step logic rather than receiving superficial code completions. The server incorporates multiple integrated components, including a reasoning engine that evaluates confidence, an analyzer that validates logic chains, a storage layer for persistent project memory and technical decisions, and a planning module that breaks complex programming tasks into structured execution cards. Built as a global Node.js package, it functions on Windows, macOS, and Linux systems. By integrating with compatible Model Context Protocol hosts like Cursor, Cline, Windsurf, and GitHub Copilot, MCP-Booster assists users in tracking project modifications, maintaining architectural context across long coding sessions, inspecting decisions, and validating code solutions before applying changes to codebases.
Category: AI & LLM Tooling
Tags: chain-of-thought, cursor, ide, npm
bash npm install -g mcp-booster 3. Add the server configuration to your MCP settings file (such as in Cursor): json { "mcpServers": { "mcp-booster": { "command": "mcp-booster", "args": ["--api-key", "YOUR_API_KEY"] } } } 4. Alternatively, configure your environment variables by setting MCP_BOOSTER_API_KEY and optional MCP_BOOSTER_LOG_LEVEL. 5. Run mcp-booster directly from the command line to verify the setup.Part of MCP Servers
You can install MCP-Booster globally using the Node Package Manager by running npm install -g mcp-booster. Ensure that your environment runs Node.js version 18.0.0 or higher. Once installed, configure the mcpServers configuration object inside your MCP client settings with the mcp-booster executable command and provide your API key via command-line arguments or environment variables.
MCP-Booster is optimized for use with Cursor IDE, but it is also compatible with other tools supporting Model Context Protocol and external AI agents such as Cline, Windsurf, and GitHub Copilot. It operates across multiple platforms, including modern versions of Windows, macOS, and Ubuntu Linux.
MCP-Booster provides continuous chain-of-thought capabilities for AI coding assistants. It handles reasoning analysis to validate ideas, breaks complex features into executable planning cards, validates logic before applying code, and maintains a structured storage history of technical decisions made throughout the software project lifecycle.
Yes, MCP-Booster is open-source software distributed under the MIT license. You can inspect its source code, contribute, clone the repository, or build the project locally using standard Node.js workflows directly on GitHub.