Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@astra-ops-hub run the support_resolver engine and summarize the evidence vs assumptions"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Nineteen runnable business engines that implement the GPT-6 Astra workflow cases from the beamnxw field guide, plus an MCP server, memory evolution log, and approval policy.
This is not a prompt pack. Each case executes against the Northlamp Commerce world fixture, returns a structured artifact, splits evidence vs assumption, and refuses unsafe writes until a human approves.
Repo: https://github.com/ST3ELY1212-code/astra-ops-hub
git clone https://github.com/ST3ELY1212-code/astra-ops-hub.git
cd astra-ops-hub
python -m pip install -e .
python -m pytest -qRelated MCP server: nano-vm-mcp
python -m astra_ops.cli list
python -m astra_ops.cli run support_resolver
python -m astra_ops.cli run multi_agent --goal "founder week pack"
python -m astra_ops.cli run-all
python -m astra_ops.cli monitor
python -m astra_ops.cli memory
python -m astra_ops.cli focus{
"mcpServers": {
"astra-ops-hub": {
"command": "python",
"args": ["-m", "astra_ops.mcp_server"],
"cwd": "/absolute/path/to/astra-ops-hub"
}
}
}Tools: list_cases, run_case, run_all, monitor, memory_recent, focus_directives.
Open site/index.html for the operator console.
This server cannot be deployed
Build and run grounded business agents over MCP: agents, knowledge bases, skills, Storylines.
Hosted MCP memory and agent control plane for durable conversations, jobs, and operations.
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
Let AI agents query data and act across all your business apps via MCP.
