Model Serving Endpoints API
Create and manage model serving endpoints for deploying machine learning models as REST API endpoints.
Work with this as data
Every API here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for apis
7 MCP tools reach this
find_apisBrowse and filter every API in the catalog.get_api_artifactsOne API's artifacts, grouped by type.get_openapiThe primary OpenAPI for this API.find_similar_apisAPIs that look like this one.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This API
curl "https://apis.io/api/v1/apis/model-serving-endpoints-api"
All apis
curl "https://apis.io/api/v1/apis?limit=25"Discovery needs no key. Ratings and market analysis are Pro.
API entry from apis.yml
name: Model Serving Endpoints API
description: Create and manage model serving endpoints for deploying machine learning models as REST API
endpoints.
baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/serving-endpoints
tags:
- Deployment
- Inference
- Machine-Learning
- Model Serving
tags_raw:
- Deployment
- Inference
- Machine Learning
- Model Serving
properties:
- type: Documentation
url: https://learn.microsoft.com/azure/databricks/machine-learning/model-serving/create-manage-serving-endpoints
- type: APIReference
url: https://docs.databricks.com/api/azure/workspace/servingendpoints