HyperDrive MCP Server Integration
The HyperDrive REST API is a sophisticated orchestration and control plane interface designed for managing high-intensity computational workloads and data processing pipelines within a cloud-native environment. Provided as a managed service, its core capabilities revolve around the programmatic initiation, control, and lifecycle management of complex "runs"—atomic units of work that could represent anything from large-scale data transformations and machine learning model training to distributed scientific simulations or batch analytics jobs. The API's design is fundamentally asynchronous; the POST /runs endpoint serves as a command to launch a new run, returning immediately with a unique run identifier while the heavy computation proceeds asynchronously in the backend infrastructure. The corresponding POST /runs/{runId}/cancel endpoint provides essential operational control, allowing a user or system to terminate a running job that is no longer needed, is stuck, or is consuming excessive resources. Typical enterprise use cases include automating nightly ETL (Extract, Transform, Load) processes, dynamically spinning up compute clusters for on-demand analytics, managing CI/CD pipeline stages that require significant resources, or controlling the training lifecycle of machine learning models in MLOps platforms.
Technical Integration & Multi-Client Support
The HyperDrive MCP Integration translates REST paths, operational endpoints, and tool schemas into standardized Model Context Protocol JSON-RPC 2.0 messages. This allows AI assistants like Claude Desktop, Cursor IDE, VS Code (Cline/Roo Code), and Zed Editor to run tool queries and execute functions seamlessly.
Add stdio configuration block to claude_desktop_config.json.
Configure workspace root at .cursor/mcp.json or Settings -> MCP.
Insert server JSON payload into cline_mcp_settings.json.
Specification & Compatibility Table
| Property | Specification Detail |
|---|---|
| Target Integration | HyperDrive (azure-com-machinelearningservices-hyperdrive) |
| Directory Category | developer tools |
| Protocol Spec | JSON-RPC 2.0 (stdio) |
| Canonical Path | /mcp/azure-com-machinelearningservices-hyperdrive/ |
Frequently Asked Questions
How do I access the full JSON configuration for HyperDrive?
Click 'Open Full HyperDrive MCP Config' above to view the complete parameter schema, environment variable setup, and copy-pasteable JSON configs for Claude Desktop, Cursor, and VS Code.
Does HyperDrive require authentication secrets?
Authentication depends on upstream API requirements. Check the environment variable table on the detail page to view required API keys and header tokens.
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