Notable Mentions :
https://github.com/Jacck/mcp-reasoner
Thanks for giving me the idea Jacck .
A Model Context Protocol (MCP) server that provides advanced reasoning capabilities for Claude in Cursor AI.
npm install
npm run build
Build the server first:
cd mcp-reasoning-server
npm run build
Open Cursor AI
Navigate to Settings > Features > MCP
Click the "+ Add new global MCP server" button
Enter the following details:
node C:\\Users\\[YourUsername]\\path\\to\\mcp-reasoning-server\\dist\\index.js
Click "Add"
Find your server in the list (it will initially show as "Disabled")
Click "Disabled" to toggle it to "Enabled"
Click the refresh button to load the available tools
A command prompt window will open automatically - this is your server running
As long as this command prompt window remains open, the reasoning tools will be available
Alternatively, you can manually edit your Cursor MCP configuration file at C:\Users\[Username]\.cursor\mcp.json
(Windows):
{
"mcpServers": {
"mcp-reasoner": {
"command": "node",
"args": ["C:\\Users\\[Username]\\path\\to\\mcp-reasoning-server\\dist\\index.js"]
}
}
}
npm run build
before restartingYou can use the reasoning tools directly in your Cursor AI conversations with Claude:
Use the /reason-mcts
command followed by your query to start a MCTS-based reasoning chain:
/reason-mcts How can I optimize the performance of this React component?
Use the /reason-beam
command for beam search-based reasoning:
/reason-beam What architecture would be best for this microservice system?
Use the /reason-r1
command for single-step Transformer-based reasoning:
/reason-r1 Analyze the complexity of this algorithm.
Use the /reason-hybrid
command to combine Transformer and MCTS reasoning:
/reason-hybrid How should we approach refactoring this legacy codebase?
To make it easier for Claude to work with these reasoning tools, you can add the following custom instructions:
When I use commands like /reason-mcts, /reason-beam, /reason-r1, or /reason-hybrid in chat, interpret them as requests to use the corresponding reasoning tools:
/reason-mcts: Use the reason_mcts tool with the text following the command as the query
Example: "/reason-mcts How do I solve this problem?" should call the reason_mcts tool
/reason-beam: Use the reason_beam tool with the text following the command as the query
Example: "/reason-beam What's the best approach for this complex problem?" should call the reason_beam tool
/reason-r1: Use the reason_r1 tool with the text following the command as the query
Example: "/reason-r1 Analyze this code for performance issues" should call the reason_r1 tool
/reason-hybrid: Use the reason_hybrid tool with the text following the command as the query
Example: "/reason-hybrid How should we restructure this architecture?" should call the reason_hybrid tool
When these commands are used, extract the text after the command as the query parameter and use the corresponding tool to perform advanced reasoning.
src/index.ts
: Main server entry pointsrc/tools/reasoning-tools.ts
: Implementation of reasoning toolssrc/tools/reasoning-wrapper.ts
: Command wrappers for easier use in Cursorsrc/utils/errors.ts
: Error handling utilitiesThe reasoning tools are implemented to automatically complete all reasoning steps internally during a single tool call. Each reasoning method follows this process:
This approach ensures that the reasoning process completes fully without requiring multiple manual tool calls.
To add a new reasoning method, follow these steps:
src/tools/reasoning-tools.ts
src/tools/reasoning-wrapper.ts
npm run build
This is a simulated reasoning server. In a production implementation, you would connect to actual reasoning algorithms instead of the placeholder responses currently used.
ISC
{
"mcpServers": {
"mcp-reasoner": {
"env": {},
"args": [
"C:\\Users\\[Username]\\path\\to\\mcp-reasoning-server\\dist\\index.js"
],
"command": "node"
}
}
}
Seamless access to top MCP servers powering the future of AI integration.