Azure Mgmt Apicenter Py

MicrosoftOfficialCreated by Microsoft

Skill
Tool integration
Cloud and DevOps
MIT
Low risk

From the author

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".

— the description by Microsoft

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The azure-mgmt-apicenter-py skill provides the Python SDK for interacting with Azure API Center. It enables developers to programmatically manage their API lifecycle, including registering APIs, defining versions, importing specifications, and tracking deployments across environments. The SDK supports standard Azure authentication patterns and provides structured client operations for organizing API assets within workspaces.

What it does

Create and manage Azure API Center service instances.
Register and organize APIs within defined workspaces.
Define API versions and manage API definitions.
Import API specifications from inline content.
Track API deployments and define operational environments.
Configure custom metadata schemas for API governance.

When to use it

When automating the registration of APIs into an Azure API Center inventory.
When building custom tooling to govern API metadata and lifecycle stages.
When integrating API documentation and specification management into CI/CD pipelines.
When managing API deployment tracking across different environments.

Advantages

Provides programmatic control over API inventory and governance.
Supports standard Azure identity authentication for secure access.
Enables consistent organization of APIs using workspaces and custom metadata.
Facilitates automated tracking of API versions and deployment states.

Usage examples

“How do I register a new API in Azure API Center using Python?”: The agent provides a code snippet using the ApiCenterMgmtClient to call the apis.create_or_update method with the necessary API properties.
“Show me how to import an OpenAPI specification into my API Center.”: The agent demonstrates using the begin_import_specification method with an ApiSpecImportRequest to upload inline specification content.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/microsoft/azure-mgmt-apicenter-py/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip azure-mgmt-apicenter-py.zip -d .agents/skills

Documentation by Microsoft

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  # Required for all auth methods
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production

Authentication & Lifecycle

🔑 Two rules apply to every code sample below:
Prefer DefaultAzureCredential. It works locally (Azure CLI / VS Code / Developer CLI) and in Azure (managed identity, workload identity) with no code change. Avoid connection strings, account/API keys — they bypass Entra audit and rotation.
Local dev: DefaultAzureCredential works as-is.
Production: set AZURE_TOKEN_CREDENTIALS=prod (or AZURE_TOKEN_CREDENTIALS=<specific_credential>) to constrain the credential chain to production-safe credentials.
Wrap every client in a context manager so HTTP transports, sockets, and token caches are released deterministically:
Sync: with <Client>(...) as client:
Async: async with <Client>(...) as client: and async with DefaultAzureCredential() as credential: (from azure.identity.aio)
Snippets may abbreviate this setup, but production code should always follow both rules.

from azure.identity import DefaultAzureCredential, ManagedIdentityCredential
from azure.mgmt.apicenter import ApiCenterMgmtClient
import os

# Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
credential = DefaultAzureCredential(require_envvar=True)
# Or use a specific credential directly in production:
# See https://learn.microsoft.com/python/api/overview/azure/identity-readme?view=azure-python#credential-classes
# credential = ManagedIdentityCredential()

with ApiCenterMgmtClient(
    credential=credential,
    subscription_id=os.environ["AZURE_SUBSCRIPTION_ID"]
) as client:
    # Use `client` for all subsequent operations (see examples below)
    ...

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, ApiProperties

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(
        properties=ApiProperties(
            title="My API",
            description="A sample API for demonstration",
            kind=ApiKind.REST,
            terms_of_service={"url": "https://example.com/terms"},
            contacts=[{"name": "API Team", "email": "[email protected]"}],
        )
    ),
)

print(f"Registered API: {api.properties.title}")

Create API Version

from azure.mgmt.apicenter.models import ApiVersion, ApiVersionProperties, 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(
        properties=ApiVersionProperties(
            title="Version 1.0",
            lifecycle_stage=LifecycleStage.PRODUCTION,
        )
    ),
)

print(f"Created version: {version.properties.title}")

Add API Definition

from azure.mgmt.apicenter.models import ApiDefinition, ApiDefinitionProperties

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(
        properties=ApiDefinitionProperties(
            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.begin_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": {}}',
    )
).result()

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, EnvironmentProperties

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(
        properties=EnvironmentProperties(
            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, DeploymentProperties, 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(
        properties=DeploymentProperties(
            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, MetadataSchemaProperties

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(
        properties=MetadataSchemaProperties(
            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

Pick sync OR async and stay consistent. Do not mix azure.xxx sync clients with azure.xxx.aio async clients in the same call path. Choose one mode per module.
Always use context managers for clients and async credentials. Wrap every client in with Client(...) as client: (sync) or async with Client(...) as client: (async). For async DefaultAzureCredential from azure.identity.aio, also use async with credential: so tokens and transports are cleaned up.
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

Reference Files

File	Contents
references/capabilities.md	Additional non-hero capabilities, operation-group coverage, and production checklists.
references/non-hero-scenarios.md	Dedicated non-hero examples for secondary/advanced scenarios.

Files

ATTRIBUTION.mdAdded by AutoGineer980 B
LICENSELicence file added by AutoGineer1.1 KiB
SKILL.md9.2 KiB
references/capabilities.md2.1 KiB
references/non-hero-scenarios.md4.0 KiB

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an API key, Needs Python

Security

What our scanner noticed· Low risk

Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by

Microsoft

Publisher

Microsoft (Official)

Source

microsoft/skills · .github/plugins/azure-sdk-python/skills/azure-mgmt-apicenter-py · commit 0696600

Licence

MIT License (redistribution allowed)

LICENSE (added by AutoGineer from LICENSE)
ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-09

AutoGineer is not affiliated with or endorsed by Microsoft or Microsoft.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download azure-mgmt-apicenter-py.zip