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Description
Description
Currently, the ModelContextProtocol/Inspector requires manual setup and installation on host machines. This issue proposes adding official Docker support to streamline deployment and improve portability across different environments.
Motivation
Docker containerization would significantly enhance the usability and deployment experience of MCP Inspector by:
- Eliminating environment-specific setup issues
- Providing consistent behavior across different platforms
- Reducing the complexity of installation and configuration
- Enabling easier integration into existing CI/CD pipelines and containerized workflows
Proposed Implementation
-
Create a
Dockerfilein the repository root that:- Uses an appropriate base image (e.g., Python slim)
- Installs all dependencies
- Sets up the application in a production-ready configuration
-
Create a
docker-compose.ymlfile for easy deployment with customizable options -
Add Docker-specific documentation, including:
- Basic usage instructions
- Environment variable configuration
- Volume mounting for persistent data- Network configuration options
-
Consider providing pre-built Docker images on Docker Hub or GitHub Container Registry
Benefits
- Simplified Deployment: One command to deploy the entire application
- Consistency: Identical environment across development and production
- Isolation: Application dependencies don't interfere with host system
- Scalability: Easier horizontal scaling and load balancing
- Version Control: Simple rollbacks and version management
- Community Adoption: Lower barrier to entry for new users
Additional Considerations
- Support for different configurations (development, testing, production)
- Multi-architecture support (amd64, arm64)
- Resource constraints configuration
- Best practices for securing the Docker container
Would you like me to contribute to this implementation or provide more specific details about any aspect of the Docker deployment?