Installation¶
microsoft-agent is a standard Python package and a prebuilt container image. Pick
the path that matches how you want to run it.
Requirements¶
- Python 3.11 – 3.14.
- A registered Microsoft Entra ID (Azure AD) application with Microsoft Graph permissions, and its client id / client secret. Microsoft 365 is a managed service — see the Backing Service note for configuration.
From PyPI (recommended)¶
Optional extras¶
The base install is intentionally minimal. Install the extra for what you need:
| Extra | Install | Pulls in |
|---|---|---|
mcp |
pip install "microsoft-agent[mcp]" |
FastMCP MCP-server runtime (agent-utilities[mcp]) |
agent |
pip install "microsoft-agent[agent]" |
Pydantic-AI A2A agent + Logfire tracing |
all |
pip install "microsoft-agent[all]" |
MCP server, agent, and Logfire — everything above |
test |
pip install "microsoft-agent[test]" |
pytest, pytest-asyncio, pytest-cov |
From source¶
git clone https://github.com/Knuckles-Team/microsoft-agent.git
cd microsoft-agent
pip install -e ".[all]" # editable install with every extra
With uv:
Prebuilt Docker image¶
A multi-stage, slim image is published on every release (installs
microsoft-agent[all], console scripts microsoft-mcp and microsoft-agent):
docker pull knucklessg1/microsoft-agent:latest
docker run --rm -i \
-e MICROSOFT_CLIENT_ID=your-app-registration-client-id \
-e MICROSOFT_CLIENT_SECRET=your-client-secret \
-e MICROSOFT_SCOPE=https://graph.microsoft.com/.default \
knucklessg1/microsoft-agent:latest # stdio transport (default)
For an HTTP server with a published port and the A2A agent, see Deployment.
Verify the install¶
microsoft-mcp --help
microsoft-agent --help
python -c "import microsoft_agent; print(microsoft_agent.__version__)"
Next steps¶
- Deployment — run it as a long-lived MCP server and A2A agent behind Caddy + DNS.
- Usage — call the tools, the API, and the CLI.
- Configuration — every environment variable.