Server API
Provides a structured, standards-compliant API for serving machine learning metadata, service discovery, and ML content, enabling AI applications to efficiently discover model context and artifacts.
关于
MCP Server provides a robust and standards-compliant API designed specifically for machine learning services. Unlike traditional APIs that primarily deliver raw data, this server focuses on exposing machine-readable context and rich metadata about ML models, training artifacts, and data science content using JSON-LD. It features structured discovery endpoints, including `.well-known` paths, to allow AI agents and tooling ecosystems to programmatically understand and interact with your ML capabilities without requiring human interpretation.
主要功能
- Supports flexible configuration using .env variables
- 1 GitHub stars
- Structured model context resolution via .well-known/model-context
- Defines public semantic schema using JSON-LD at .well-known/v1.json
- Provides dedicated service discovery endpoint at /v1/discovery
- Lists available ML resources and data science artifacts via /v1/content
使用案例
- Serve machine-readable metadata and context for machine learning models
- Enable AI agents and applications to discover model context and training artifacts
- Provide structured service discovery endpoints for ML capabilities
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