Xplainable
Provides secure access to the Xplainable AI platform, enabling the management, deployment, and explanation of machine learning models.
About
The Xplainable MCP Server acts as a crucial bridge, securely connecting external clients and applications to the powerful Xplainable AI platform. It streamlines the entire machine learning lifecycle, from preprocessing and training to model deployment and generating detailed explanations. By adhering to the Model Context Protocol, it offers a standardized interface, empowering developers and users to integrate advanced AI capabilities into their workflows with robust authentication, data validation, and comprehensive audit logging.
Key Features
- Detailed Audit Logging of All Operations
- 0 GitHub stars
- Comprehensive Read/Write Operations for Models & Deployments
- Secure Token-Based Authentication
- Full Pydantic Model Validation (Type Safety)
- Built-in Rate Limiting and Request Validation
Use Cases
- Deploying and managing machine learning models on the Xplainable platform
- Integrating Xplainable AI platform capabilities into applications like Claude Code
- Generating deployment keys and testing model inference for active deployments
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