Installation¶
openbao-mcp 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 reachable OpenBao server (or a Vault-compatible endpoint) — see Backing Platform to deploy one locally.
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 "openbao-mcp[mcp]" |
FastMCP MCP-server runtime (agent-utilities[mcp]) |
agent |
pip install "openbao-mcp[agent]" |
Pydantic-AI agent server + Logfire tracing |
all |
pip install "openbao-mcp[all]" |
Everything above |
test |
pip install "openbao-mcp[test]" |
pytest, pytest-asyncio, pytest-cov, pytest-xdist |
From source¶
git clone https://github.com/Knuckles-Team/openbao-mcp.git
cd openbao-mcp
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
openbao-mcp[all], entrypoint openbao-mcp):
docker pull knucklessg1/openbao-mcp:latest
docker run --rm -i \
-e OPENBAO_URL=http://your-openbao:8200 \
-e OPENBAO_TOKEN=bao_root_token \
knucklessg1/openbao-mcp:latest # stdio transport (default)
For an HTTP server with a published port, see Deployment.
Verify the install¶
Next steps¶
- Deployment — run it as a long-lived MCP server behind Caddy + DNS.
- Usage — call the tools and the
Apiclient. - Configuration — every environment variable.