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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.
pip install openbao-mcp

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
# Typical: run the MCP server and the agent server
pip install "openbao-mcp[all]"

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:

uv pip install -e ".[all]"
uv run openbao-mcp

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

openbao-mcp --help
python -c "import openbao_mcp; print(openbao_mcp.__version__)"

Next steps

  • Deployment — run it as a long-lived MCP server behind Caddy + DNS.
  • Usage — call the tools and the Api client.
  • Configuration — every environment variable.