Judgmentlabs Mcp Server

JudgmentLabs MCP Server

A Model Context Protocol (MCP) server that provides seamless integration with the Judgment API for AI evaluation workflows. This server enables you to manage datasets, run evaluations, and track traces directly from your MCP-compatible environment like Claude Desktop.

🎥 Demo Video

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🚀 Features

🎯 One-Click Installation

• DXT Package: Install as a single .dxt file in Claude Desktop
• No Dependencies: All Python packages are pre-bundled
• Auto-Configuration: Easy setup through Claude Desktop's settings UI
• Cross-Platform: Works on Windows, macOS, and Linux

📊 Dataset Management

• Create & Manage Datasets: Push datasets with examples and traces to the Judgment API
• Flexible Data Handling: Support for append and overwrite modes when updating datasets
• Data Retrieval: Pull existing datasets from your Judgment projects
• Smart Example Conversion: Automatically handles various input formats (input/question, expected_output/answer)

Project Operations

• Project Creation: Create new projects in the Judgment API
• Project Cleanup: Delete projects and all associated data
• Auto-Creation: Projects are automatically created when pushing datasets if they don't exist

Evaluation & Monitoring

• Run Evaluations: Execute evaluation runs via the Judgment API
• Results Retrieval: Fetch detailed evaluation results for analysis
• Trace Management: Create, fetch, and delete individual traces
• Real-time Monitoring: Track AI agent performance and behavior

Developer Experience

• Error Handling: Comprehensive error handling with helpful suggestions
• Debug Logging: Built-in debugging capabilities for troubleshooting
• Flexible Configuration: Environment-based configuration with sensitive data protection

📋 Prerequisites

• Claude Desktop (latest version with DXT support)
• JudgmentLabs account with API access
• For manual installation: Python 3.8 or higher

🛠️ Installation

Method 1: DXT Extension (Recommended) 🎯

The easiest way to install this MCP server is through Claude Desktop's DXT extension system:

1. Download the Extension:

   • Get the latest judgmentlabs-mcp-server.dxt file from the releases page
   • No Python installation required!

2. Install in Claude Desktop:

   • Open Claude Desktop
   • Go to Settings → Extensions
   • Click "Install Extension"
   • Select the downloaded .dxt file
   • The extension will be automatically installed

3. Configure API Credentials:

   • In Claude Desktop, go to Settings → Extensions
   • Find "JudgmentLabs MCP" and click Configure
   • Enter your credentials:
     • JUDGMENT_API_KEY: Your API key from JudgmentLabs Dashboard
     • JUDGMENT_ORG_ID: Your organization ID from the dashboard

4. Enable and Test:

   • Toggle the extension to "Enabled"
   • Restart Claude Desktop
   • Test by asking: "Create a new project called 'test-project'"

Method 2: Build Your Own DXT Package (Advanced Users) ⚙️

For developers who want to build the DXT package from source:

Prerequisites

• Python 3.8 or higher
• Node.js and npm

Build Steps

# 1. Clone the repository
git clone https://github.com/suysoftware/judgmentlabs-mcp-server.git

# 2. Install DXT CLI
npm install -g @anthropic-ai/dxt

# 3. Navigate to project directory
cd judgmentlabs-mcp-server

# 4. Install and bundle Python dependencies
pip install -t lib/ judgeval python-dotenv

# 5. Create the DXT package
dxt pack

This will generate judgmentlabs-mcp-server.dxt in your project directory.

Install Your Built Package

# Install in Claude Desktop:
# 1. Open Claude Desktop
# 2. Go to Settings → Extensions
# 3. Click "Install Extension"
# 4. Select the generated judgmentlabs-mcp-server.dxt file
# 5. Configure your API credentials
# 6. Restart Claude Desktop
# 7. Your MCP server is ready!

🔧 Available Tools

Dataset Operations

• push_dataset: Upload datasets with examples and traces
• get_dataset: Retrieve existing datasets from projects
• delete_dataset: Remove datasets from projects

Project Management

• create_project: Create new projects
• delete_project: Delete projects and all data

Evaluation & Traces

• run_evaluation: Execute evaluation runs
• get_evaluation_results: Fetch evaluation results
• get_trace: Retrieve individual traces
• delete_trace: Remove specific traces

🔒 Security

• API Keys: Credentials are securely stored in Claude Desktop's extension configuration
• No Local Storage: API keys are not stored in plain text files when using DXT installation
• Environment Isolation: Each extension runs in its own secure environment
• Data Privacy: All data is transmitted securely to the Judgment API

🐛 Troubleshooting

Common Issues

Extension Not Loading

Extension failed to load

Solution:

1. Make sure you have the latest version of Claude Desktop
2. Check that the .dxt file is not corrupted
3. Try reinstalling the extension

API Key Configuration Issues

Error: No API key provided

Solution:

1. Go to Claude Desktop Settings → Extensions
2. Find "JudgmentLabs MCP" and click Configure
3. Ensure both JUDGMENT_API_KEY and JUDGMENT_ORG_ID are properly set
4. Restart Claude Desktop after configuration changes

Connection Issues

HTTP 500: API server error

Solution: Check the JudgmentLabs status page or try again later.

Python Path Issues (Build Process)

Command not found: dxt

Solution:

1. Install Node.js and npm first
2. Install DXT CLI: npm install -g @anthropic-ai/dxt
3. Ensure npm global bin is in your PATH

Dependencies Bundle Issues

Import error: No module named 'judgeval'

Solution:

1. Make sure you ran: pip install -t lib/ judgeval python-dotenv
2. Check that lib/ folder contains the packages
3. Rebuild the DXT package: dxt pack

Debug Mode

Enable debug logging by checking the debug.log file in the project directory for detailed error information.

📈 Performance & Limits

• Dataset Size: Supports datasets with thousands of examples
• Batch Operations: Efficiently handles bulk operations
• Rate Limiting: Respects API rate limits with proper error handling

🤝 Contributing

For Contributors

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes
4. Test locally with manual installation method
5. Create a new DXT package:

   pip install -t lib/ judgeval python-dotenv
   dxt pack
   

6. Test the .dxt file in Claude Desktop
7. Commit your changes (git commit -m 'Add some amazing feature')
8. Push to the branch (git push origin feature/amazing-feature)
9. Open a Pull Request

Release Process

1. Update version in manifest.json
2. Create and test the DXT package
3. Create a GitHub release
4. Attach the .dxt file to the release
5. Update README if needed

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Links

• JudgmentLabs Website
• JudgmentLabs Documentation
• Model Context Protocol
• Claude Desktop

👨‍💻 Author

Sezer Ufuk Yavuz

• Email: [email protected]
• GitHub: @suysoftware
• Linkedin: @ufukyavuzz
• X: @sezerufukyavuz

🙏 Acknowledgments

• Anthropic for the Model Context Protocol
• JudgmentLabs for the evaluation platform
• The open-source community for their valuable contributions

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For more detailed documentation and examples, visit our GitHub repository.