The Darbot Deepmind MCP Server provides advanced AI reasoning capabilities through a structured, adaptive thinking framework, along with Azure AD authentication.
Reasoning & Problem-Solving
Break down complex problems into manageable, sequential thought steps with a dynamic reasoning chain
Revise and refine previous thoughts as new insights emerge (via
isRevisionandrevisesThoughtparameters)Branch into multiple reasoning paths to explore alternative solutions (via
branchFromThoughtandbranchId)Adaptively adjust reasoning depth as problem complexity becomes clearer
Generate and verify solution hypotheses throughout the reasoning process
Filter irrelevant information and maintain focus on key aspects at each step
Express uncertainty and backtrack without being constrained to linear reasoning
Authentication & Integrations
Authenticate with Azure Active Directory (AAD) using
microsoft-authentication-cli, supporting interactive, device-code, and silent modesIntegrate with GitHub Copilot extensions via
@github/copilot-sdk
Use Cases: Software architecture design, code review, debugging, research planning, decision-making, project planning, and Azure integration scenarios such as API security and cloud automation.
Provides integration with GitHub Copilot extensions via the GitHub Copilot SDK, enabling advanced AI reasoning and adaptive planning within the Copilot ecosystem.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Darbot Deepmind MCP Serverdesign a scalable microservices architecture for an e-commerce platform"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Darbot Deepmind MCP Server
An MCP server implementation that provides advanced AI reasoning capabilities through Darbot's deepmind thinking framework. This server allows for sophisticated, step-by-step reasoning and problem-solving, making it ideal for complex tasks that require dynamic thought processes and adaptive planning.
Features
Advanced Deepmind Reasoning: Break down complex problems into manageable thought steps
Dynamic Thought Revision: Revise and refine previous thoughts as new insights emerge
Multi-path Reasoning: Support for branching logic and exploring alternative solutions
Adaptive Planning: Dynamically adjust the number of thoughts needed as problem complexity becomes clearer
Solution Hypothesis Generation: Create and verify hypotheses throughout the reasoning process
Context-aware Analysis: Filter irrelevant information while maintaining focus on key aspects
Microsoft Authentication: Seamless Azure AD authentication using microsoft-authentication-cli
GitHub Copilot SDK: Integration with GitHub Copilot extensions via
@github/copilot-sdkBeautiful Console Output: Formatted thought display with colors and borders for enhanced readability
Installation
Prerequisites
Node.js 20.19+ or Docker
npm or yarn package manager (for local installation)
Quick Installation
Using NPX (Recommended)
Add this to your claude_desktop_config.json:
Using Docker
Local Development Installation
Tool Reference
darbot_deepmind
Facilitates sophisticated, step-by-step reasoning through Darbot's deepmind thinking framework for complex problem-solving and analysis.
Parameters
Parameter | Type | Required | Description |
| string | Yes | The current thinking step |
| boolean | Yes | Whether another thought step is needed |
| integer | Yes | Current thought number (starting from 1) |
| integer | Yes | Estimated total thoughts needed |
| boolean | No | Whether this revises previous thinking |
| integer | No | Which thought number is being reconsidered |
| integer | No | Branching point thought number |
| string | No | Branch identifier for multi-path reasoning |
| boolean | No | If more thoughts are needed beyond initial estimate |
microsoft_auth
Authenticates with Azure Active Directory (AAD) and obtains access tokens using the microsoft-authentication-cli tool.
Prerequisites
azureauthCLI must be installed on your systemAzure AD application must be properly configured with redirect URIs
Client ID, Resource ID, and Tenant ID must be available
Parameters
Parameter | Type | Required | Description |
| string | No* | Azure AD application (client) ID |
| string | No* | Resource ID to authenticate to |
| string | No* | Azure AD tenant ID |
| enum | No | Output format: |
| number | No | Timeout in minutes (default: 15) |
| enum | No | Authentication mode: |
| string | No* | Config alias name (requires |
* Either provide clientId, resourceId, and tenantId OR provide alias
Installing azureauth CLI
Windows:
macOS:
For the latest version, check the releases page.
Usage Examples
Basic Problem Solving
The darbot_deepmind tool excels at breaking down complex problems:
Thought Revision
When new insights emerge, you can revise previous thoughts:
Branching Logic
Explore alternative solutions:
Microsoft Authentication
Authenticate with Azure AD to access protected resources:
Configuration
Environment Variables
Variable | Default | Description |
|
| Set to |
|
| Port for MCP server (when running standalone) |
|
| Logging level: |
| - | Path to azureauth config file (for using aliases) |
| - | Application Insights ingestion token (enables telemetry for azureauth) |
VS Code Integration
For VS Code users, you can install via:
Or manually add to .vscode/mcp.json:
Building from Source
Docker Build
Local Build
Troubleshooting
Common Issues and Solutions
1. Server Not Starting
Symptom: The server fails to start or immediately exits.
Solutions:
Ensure Node.js 20.19+ is installed:
node --versionCheck if port 3000 is available:
netstat -an | findstr 3000(Windows) orlsof -i :3000(macOS/Linux)Verify all dependencies are installed:
npm installCheck for TypeScript compilation errors:
npm run buildClear npm cache:
npm cache clean --force
2. Tool Not Discovered
Symptom: Claude or VS Code shows "0 tools discovered".
Solutions:
Verify the server is running: Check process list with
tasklist | findstr node(Windows) orps aux | grep node(macOS/Linux)Ensure MCP protocol version compatibility
Check server logs for registration errors
Restart Claude Desktop or VS Code after configuration changes
Verify JSON syntax in configuration files
3. Thought Logging Issues
Symptom: Too much or no thought logging in console.
Solutions:
To disable logging: Set
DISABLE_THOUGHT_LOGGING=trueTo enable debug logging: Set
LOG_LEVEL=debugCheck log file permissions in Docker containers
Verify environment variables are properly set
4. Docker Container Issues
Symptom: Docker container exits immediately or fails to respond.
Solutions:
Ensure Docker daemon is running:
docker infoCheck container logs:
docker logs <container-id>Verify the image was built successfully:
docker imagesTry running with
-itflags for interactive mode:docker run -it --rm mcp/darbot-deepmindCheck Docker memory and CPU limits
5. NPX Installation Failures
Symptom: NPX command fails or hangs.
Solutions:
Clear npm cache:
npm cache clean --forceTry with explicit registry:
npx --registry https://registry.npmjs.org/ -y @darbotlabs/darbot-deepmind-mcpCheck network proxy settings
Use local installation method instead
Verify npm version:
npm --version(should be 7+)
6. Memory or Performance Issues
Symptom: Server becomes slow or unresponsive with complex problems.
Solutions:
Limit thought depth for very complex problems
Monitor memory usage during operation:
topor Task ManagerConsider breaking very large problems into sub-problems
Adjust Node.js memory limits:
node --max-old-space-size=4096 dist/index.jsCheck for memory leaks in thought history
7. Configuration Not Loading
Symptom: Configuration changes not taking effect.
Solutions:
Verify JSON syntax in configuration files: Use online JSON validator
Check file paths are correct (especially on Windows)
Ensure proper escaping of backslashes in Windows paths: Use double backslashes
\\\\or forward slashes/Restart the MCP client after configuration changes
Check file permissions
8. TypeScript Compilation Errors
Symptom: Build fails with TypeScript errors.
Solutions:
Check TypeScript version compatibility:
npx tsc --versionVerify
tsconfig.jsonconfigurationClear TypeScript build cache:
rm -rf dist && npm run buildCheck for conflicting type definitions
Ensure all dependencies are properly installed
9. Permission Issues (Linux/macOS)
Symptom: Permission denied errors when running scripts.
Solutions:
Make scripts executable:
chmod +x dist/*.jsCheck file ownership:
ls -laRun with appropriate permissions:
sudo npm install -gUse
nvmfor Node.js version management to avoid permission issues
10. Microsoft Authentication Issues
Symptom: Authentication fails or azureauth command not found.
Solutions:
Verify
azureauthis installed: Runazureauth --versionInstall
azureauthif missing: See installation instructionsCheck if
azureauthis in PATH: Runwhich azureauth(macOS/Linux) orwhere azureauth(Windows)For headless Linux, use device code flow: Set
mode: "device-code"Verify Azure AD app registration has correct redirect URIs configured
Check client ID, resource ID, and tenant ID are correct
For timeout issues, increase timeout value:
timeout: 30(in minutes)Clear token cache if getting stale tokens: Delete cache files in
~/.azureauth(macOS/Linux) or%LOCALAPPDATA%\AzureAuth(Windows)Enable debug logging for azureauth: Set environment variable
AZUREAUTH_LOG_LEVEL=debug
Debug Mode
To enable detailed debugging:
Getting Help
If you encounter issues not covered here:
Check the GitHub Issues
Enable debug logging and collect logs
Create a minimal reproduction case
File a new issue with:
System information (OS, Node.js version, npm version)
Complete error messages
Steps to reproduce
Configuration files (redacted if necessary)
Debug logs
Use Cases
The Darbot Deepmind MCP server is ideal for:
Software Architecture Design: Breaking down complex system requirements
Problem Analysis: Systematic exploration of multi-faceted issues
Research Planning: Developing comprehensive research strategies
Decision Making: Evaluating options with structured thinking
Code Review: Analyzing code with step-by-step reasoning
Learning and Education: Breaking down complex topics into understandable steps
Project Planning: Decomposing large projects into manageable tasks
Debugging: Systematic approach to identifying and solving issues
Azure Integration: Authenticating with Azure AD for accessing protected resources
API Development: Securing API calls with Azure AD tokens
Cloud Automation: Integrating Azure authentication in automated workflows
Performance Considerations
Memory Usage: Each thought is stored in memory. For very long reasoning chains, consider breaking into smaller sessions
Response Time: Complex formatting may add small delays. Disable logging for production if needed
Concurrency: The server handles one reasoning chain at a time per instance
Contributing
We welcome contributions! Please see our Contributing Guide for details.
Development Setup
Changelog
See CHANGELOG.md for version history and updates.
License
This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Acknowledgments
Built with the Model Context Protocol SDK 1.26.0
GitHub Copilot integration via @github/copilot-sdk
Inspired by advanced AI reasoning techniques
Uses Chalk for beautiful console output
Validation powered by Zod 4.x
Azure AD authentication via microsoft-authentication-cli
Made with ❤️ by Darbot Labs