@AzDeltaQQ
基本信息
This is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-reasoner": {
"command": "node",
"args": [
"C:\\Users\\[YourUsername]\\path\\to\\mcp-reasoning-server\\dist\\index.js"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol server that adds advanced reasoning tools to Claude in Cursor AI. It supports Monte Carlo Tree Search, Beam Search, R1 Transformer, and Hybrid reasoning methods, all running as simulated algorithms in a local Node.js process.
Install and build the project with npm install && npm run build, then add it as a global MCP server in Cursor AI Settings manually or by editing the mcp.json configuration file. Once enabled, use the command-style tools—e.g., /reason-mcts <query>—in chat to invoke reasoning. The tools complete all reasoning steps in a single call.
/reason-mcts, /reason-beam, etc.) for easy chat integration.Clone the repository, run `npm install` and `npm run build`, then add the server in Cursor Settings > Features > MCP by specifying the full path to `dist/index.js`. Alternatively, edit `~/.cursor/mcp.json` with the command and arguments.
Use `/reason-mcts` for MCTS, `/reason-beam` for beam search, `/reason-r1` for transformer reasoning, and `/reason-hybrid` for hybrid reasoning, followed by your query.
It is a simulated reasoning server. In a production environment, actual reasoning algorithms would replace the placeholder responses currently used.
First rebuild with `npm run build`. Then close the command prompt window that runs the server, and toggle the server off and on in Cursor Settings to restart it.
Yes. Add a new tool in `src/tools/reasoning-tools.ts`, a command wrapper in `src/tools/reasoning-wrapper.ts`, implement auto‑iteration if needed, and rebuild with `npm run build`.
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