This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
A Model Context Protocol (MCP) server for integrating Azure with GenAI applications.
Microsoft Azure cloud services integration
Related MCP server: Azure Platform Engineering MCP Server
Comprehensive Azure API coverage
Multiple authentication methods
Enterprise-ready with rate limiting
Full error handling and retry logic
Async support for better performance
pip install azure-mcp-serverOr install from source:
git clone https://github.com/asklokesh/azure-mcp-server.git
cd azure-mcp-server
pip install -e .Create a .env file or set environment variables according to Azure API requirements.
from azure_mcp import AzureMCPServer
# Initialize the server
server = AzureMCPServer()
# Start the server
server.start()MIT License - see LICENSE file for details
This server cannot be deployed
Connect MCP clients to 2,000+ AI models without managing provider API keys.
Unified API to query AWS, GCP, Azure and generate Terraform/CLI execution kits for AI agents.
MCP gateway: one connection for your AI apps, with tool policies, PII redaction and audit logs.
One MCP endpoint for Claude, GPT & Gemini: 100+ tools + no-code connectors + agent workers.
