MCP Boxinspector
Updated at 15 days ago
by modelcontextprotocol
400
on GitHub
Visual testing tool for MCP servers
Tags
What is Inspector
Inspector is a tool designed to observe and debug ModelContextProtocol (MCP) deployments. It offers insights into models, data, and relationships within the MCP ecosystem. It aims to help users understand and troubleshoot issues related to model serving and data interactions in a standardized way.
How to use
The README provides instructions on how to install and run Inspector. In general, the tool can be installed via pip (pip install inspector).
Once installed, Inspector can be pointed at an MCP deployment to inspect its components. Details on exactly how to point it and the specific commands are available in the README.md file, including examples using Docker Compose and Kubernetes.
Key features
- Model Inspection: Provides details about deployed models, including metadata, versions, and configurations.
- Data Inspection: Allows you to view and analyze data flowing through the MCP system.
- Relationship Visualization: Displays the relationships between different components in the MCP deployment.
- Debugging Tools: Offers features for tracing requests and identifying bottlenecks.
- Standardized observation: Standardizes the observability of data model serving systems that follow the ModelContextProtocol.
- CLI Tool: Provides a command-line interface for interacting with Inspector.
- Docker Support: Includes Docker configurations for easy deployment and integration.
Use cases
- Debugging Model Serving Issues: Identifying the root cause of errors or performance problems in model deployments.
- Understanding Data Flows: Visualizing how data is processed and transformed within the MCP ecosystem.
- Monitoring Model Performance: Tracking key metrics and identifying potential performance degradation.
- Validating MCP Compliance: Ensuring that deployments adhere to the ModelContextProtocol standards.
- Understanding complex MCP Deployments: Visualizing and understanding the interconnected components of an MCP deployment.
FAQ (generate common questions based on the article content)
- What is ModelContextProtocol (MCP)? MCP is a standard for defining and interacting with model serving systems. Inspector is designed to work with MCP-compliant deployments.
- How do I install Inspector? You can install Inspector using
pip install inspector. - What kind of information can Inspector provide? Inspector can provide details about deployed models, data flows, and the relationships between components in your MCP deployment.
- Does Inspector require any special configuration? Inspector needs to be configured with the location of your MCP deployment. See the README for specific instructions.
- Is Inspector suitable for production environments? The README.md doesn't explicitly state if it is suitable for production, but the tool facilitates monitoring and debugging, suggesting it can be helpful in production settings, but should be evaluated based on your specific needs and security requirements.
- How can I contribute to Inspector? See the repository for contribution guidelines.
- Where can I find more detailed documentation? Refer to the project repository and the documentation within for in-depth information.