Manages API inventory and governance in Azure using the Python SDK.
Install
mkdir -p .claude/skills/azure-mgmt-apicenter-py && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15699" && unzip -o skill.zip -d .claude/skills/azure-mgmt-apicenter-py && rm skill.zipInstalls to .claude/skills/azure-mgmt-apicenter-py
Activation
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Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization. Triggers: "azure-mgmt-apicenter", "ApiCenterMgmtClient", "API Center", "API inventory", "API governance".Key capabilities
- →Create and update Azure API Center services
- →List API Centers by subscription
- →Register and manage APIs within a workspace
- →Create and manage API versions
- →Add and import API definitions
- →Create and manage environments and deployments
How it works
The skill uses the Azure API Center Management SDK for Python to programmatically manage API inventory, metadata, and governance within Azure API Center.
Inputs & outputs
When to use azure-mgmt-apicenter-py
- →List APIs managed in Azure API Center
- →Register new APIs via Python script
- →Govern API metadata and lifecycle stages
- →Automate API center service management
About this skill
Azure API Center Management SDK for Python
Manage API inventory, metadata, and governance in Azure API Center.
Installation
pip install azure-mgmt-apicenter
pip install azure-identity
Environment Variables
AZURE_SUBSCRIPTION_ID=your-subscription-id
Authentication
from azure.identity import DefaultAzureCredential
from azure.mgmt.apicenter import ApiCenterMgmtClient
import os
client = ApiCenterMgmtClient(
credential=DefaultAzureCredential(),
subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
)
Create API Center
from azure.mgmt.apicenter.models import Service
api_center = client.services.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
resource=Service(
location="eastus",
tags={"environment": "production"}
)
)
print(f"Created API Center: {api_center.name}")
List API Centers
api_centers = client.services.list_by_subscription()
for api_center in api_centers:
print(f"{api_center.name} - {api_center.location}")
Register an API
from azure.mgmt.apicenter.models import Api, ApiKind, LifecycleStage
api = client.apis.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
resource=Api(
title="My API",
description="A sample API for demonstration",
kind=ApiKind.REST,
lifecycle_stage=LifecycleStage.PRODUCTION,
terms_of_service={"url": "https://example.com/terms"},
contacts=[{"name": "API Team", "email": "[email protected]"}]
)
)
print(f"Registered API: {api.title}")
Create API Version
from azure.mgmt.apicenter.models import ApiVersion, LifecycleStage
version = client.api_versions.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
version_name="v1",
resource=ApiVersion(
title="Version 1.0",
lifecycle_stage=LifecycleStage.PRODUCTION
)
)
print(f"Created version: {version.title}")
Add API Definition
from azure.mgmt.apicenter.models import ApiDefinition
definition = client.api_definitions.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
version_name="v1",
definition_name="openapi",
resource=ApiDefinition(
title="OpenAPI Definition",
description="OpenAPI 3.0 specification"
)
)
Import API Specification
from azure.mgmt.apicenter.models import ApiSpecImportRequest, ApiSpecImportSourceFormat
# Import from inline content
client.api_definitions.import_specification(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
version_name="v1",
definition_name="openapi",
body=ApiSpecImportRequest(
format=ApiSpecImportSourceFormat.INLINE,
value='{"openapi": "3.0.0", "info": {"title": "My API", "version": "1.0"}, "paths": {}}'
)
)
List APIs
apis = client.apis.list(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default"
)
for api in apis:
print(f"{api.name}: {api.title} ({api.kind})")
Create Environment
from azure.mgmt.apicenter.models import Environment, EnvironmentKind
environment = client.environments.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
environment_name="production",
resource=Environment(
title="Production",
description="Production environment",
kind=EnvironmentKind.PRODUCTION,
server={"type": "Azure API Management", "management_portal_uri": ["https://portal.azure.com"]}
)
)
Create Deployment
from azure.mgmt.apicenter.models import Deployment, DeploymentState
deployment = client.deployments.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
workspace_name="default",
api_name="my-api",
deployment_name="prod-deployment",
resource=Deployment(
title="Production Deployment",
description="Deployed to production APIM",
environment_id="/workspaces/default/environments/production",
definition_id="/workspaces/default/apis/my-api/versions/v1/definitions/openapi",
state=DeploymentState.ACTIVE,
server={"runtime_uri": ["https://api.example.com"]}
)
)
Define Custom Metadata
from azure.mgmt.apicenter.models import MetadataSchema
metadata = client.metadata_schemas.create_or_update(
resource_group_name="my-resource-group",
service_name="my-api-center",
metadata_schema_name="data-classification",
resource=MetadataSchema(
schema='{"type": "string", "title": "Data Classification", "enum": ["public", "internal", "confidential"]}'
)
)
Client Types
| Client | Purpose |
|---|---|
ApiCenterMgmtClient | Main client for all operations |
Operations
| Operation Group | Purpose |
|---|---|
services | API Center service management |
workspaces | Workspace management |
apis | API registration and management |
api_versions | API version management |
api_definitions | API definition management |
deployments | Deployment tracking |
environments | Environment management |
metadata_schemas | Custom metadata definitions |
Best Practices
- Use workspaces to organize APIs by team or domain
- Define metadata schemas for consistent governance
- Track deployments to understand where APIs are running
- Import specifications to enable API analysis and linting
- Use lifecycle stages to track API maturity
- Add contacts for API ownership and support
Prerequisites
How it compares
This skill automates API Center management tasks through Python scripting, providing a programmatic alternative to manual portal operations.
Compared to similar skills
azure-mgmt-apicenter-py side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| azure-mgmt-apicenter-py (this skill) | 0 | 5mo | Review | Intermediate |
| sns | 1 | 7mo | Review | Intermediate |
| azure-containerregistry-py | 3 | 1mo | Review | Intermediate |
| aws-serverless | 2 | 6mo | Review | Intermediate |
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