A Model Context Protocol (MCP) server for integrating Azure with GenAI applications.
From the registry: MCP server for Azure API integration
$ pip install azure-mcp-serverPlease install the `azure-mcp-server` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Python 3.9+** — Python runtime is required. (https://www.python.org/)
- **Install azure-mcp-server** — Install via pip. Run: `pip install azure-mcp-server`
- **Azure credentials** — Configure Azure authentication via environment variables per Azure SDK conventions (service principal or managed identity). (https://learn.microsoft.com/azure/developer/python/sdk/authentication-overview)
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["azure-mcp-server"]
Note: README does not specify a console script name or env var list. Azure SDK standard env vars apply (AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, AZURE_SUBSCRIPTION_ID).
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.
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