MCP Server API

Example Use Cases

• 1

  Discover machine learning model context and metadata automatically.

• 2

  Access structured service discovery endpoints for ML services.

• 3

  Consume linked data formatted ML content and data science artefacts.

Description

MCP Server provides a structured API following the Model Context Protocol specification to expose semantic metadata about ML models, training artifacts, and data science resources. It uses JSON-LD for linked data interoperability and offers endpoints for model context resolution, service discovery, and content listing. Designed for AI agents and tooling ecosystems, it enables efficient discovery and reuse of ML service metadata with a clean, modular TypeScript implementation.