Azure Updates

Provides an MCP server to query Azure Updates by keyword, status, date, and GUID for AI assistants.

python

1

GitHub Stars

python

Language

4 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "jonnybottles-azure-updates-mcp": {
      "command": "uvx",
      "args": [
        "azure-updates-mcp"
      ]
    }
  }
}

This MCP server provides an AI-friendly interface to Azure Updates, letting your assistant search, filter, and track Azure service announcements through natural language queries. It connects your AI workflows to Azure Updates so you can stay informed about new features, previews, and retirements without manual browsing.

How to use

You can run the Azure Updates MCP Server locally and connect it to your MCP client, such as UVX, Claude Desktop, Cursor, Claude Code, or Copilot CLI. The server exposes a focused set of capabilities for querying Azure Updates, including keyword searches, status filtering, date ranges, and GUID lookups. Use it to monitor Azure evolution, plan migrations, and stay informed about new capabilities within your AI-assisted workflows.

How to install

Prerequisites you need before installing this MCP server: Python 3.9 or later, and an MCP-compatible client such as UVX, Claude Desktop, Cursor, Claude Code, or Copilot CLI.

Choose an installation method and follow the steps.

Option A — Using uvx (recommended): ensure uv is installed first, then install and run the MCP server with UVX.

Option B — Using pip (alternative): install the package directly with pip; uv is not required in this mode.

# Install uv (and uvx) on macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install uv on Windows PowerShell
irm https://astral.sh/uv/install.ps1 | iex

# Verify installation
uv --version
uvx --version

Additional setup and examples

Install from PyPI or upgrade to the latest version to run the MCP server in your environment.

# Install via UVX
uvx azure-updates-mcp

# Install directly with pip
pip install azure-updates-mcp

# Upgrade to latest version
uvx azure-updates-mcp@latest

Available tools

azure_updates_search

Search and filter Azure updates by keyword, category, status, date range, or GUID. Enable facets to discover taxonomy counts and available filter values.