What dependencies does Azure Terminal Copilot require?
Python 3.11+, Azure CLI installed and configured, Ollama with a downloaded model, uv for package management, and a running Azure MCP server.
@madebygps
Basic information
A Python-based Azure CLI assistant that provides natural language processing capabilities for Azure commands, leveraging Azure MCP Server.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"azure-terminal-copilot": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Azure Terminal Copilot is a Python-based Azure CLI assistant that provides natural language processing capabilities for Azure commands. It leverages an Azure MCP Server and a local Ollama model to convert human queries into executable Azure CLI commands.
Clone the repository, create a Python virtual environment with uv, install dependencies, run Ollama and Azure MCP Server locally, configure environment variables in .env, then execute python main.py from the terminal. Provide natural language queries such as "list all my resource groups" to see the corresponding Azure CLI command executed.
Python 3.11+, Azure CLI installed and configured, Ollama with a downloaded model, uv for package management, and a running Azure MCP server.
It uses the Azure CLI login; Azure MCP Server uses that same authentication. Ensure you are logged into Azure CLI before running the tool.
The model runs locally via Ollama. You must have Ollama installed and running, and provide its local address in the `.env` configuration file.
Yes. In the `.env` file you can specify any model you have downloaded locally through Ollama. The README suggests trying different models to see which performs better.
All processing happens locally on your machine. The tool communicates with locally running Ollama and Azure MCP Server; no cloud service is involved in the conversation.

Agents make claims. Reelier writes receipts — record an agent's tool-call workflow once, replay it deterministically at 0 tokens, and diff runs to catch drift.
Gives AI agents public URLs (tunnels) for localhost, live HTTP traffic inspection, snapshot publishing, and access control. Part of LocalCan, the ngrok alternative for Mac, Windows and Linux. Free plan.
Console, Backend and CLI to manage Capgo Instant update and Native build for Capacitor apps Build and upload to app store your mobile app

Know when your AI agents, cron jobs and CI pipelines fail, stall or go quiet. Your agent sets up monitors from a plain description, tells you what is broken and why, reads run history and traces, and writes notes on inci
MCP server that lets Claude Code, Cursor or Codex ask you for API keys on a local page and write them to .env. The agent only ever sees key names.
Comments