MCP Cloud Operations Agent
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., "@MCP Cloud Operations Agentlist my GKE clusters and describe their VMs and costs"
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.
MCP Cloud Operations Agent
Project guide
Project architecture · Interview questions and answers
Use the architecture document for the component diagram, implementation boundaries, and verification entry points. The interview guide includes source-backed answers and project walkthroughs.
Implementation map
Component | Responsibility |
HTTP handlers: | |
Functions: | |
Implementation or supporting configuration | |
Implementation or supporting configuration | |
Executable checks and regression examples | |
GitHub Actions job definitions | |
Project explanations or operating notes |
Local setup and verification
From the repository root (the commands follow the checked-in manifests):
python3 -m venv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt
python -m pytest -qTo serve the FastAPI application locally, install the server separately if it is not already available:
python -m pip install uvicorn
PYTHONPATH=src python -m uvicorn mcpcloud.main:app --reloadLevel: 10 — MCP & Tool-Using Agents
Skills: Python, cloud read tools
Tools: list_gke, describe_vm, get_billing. Apply refused.
pip install -r requirements.txt
pytest -qThis is a local laptop proof. It does not call a hosted model and it does not apply production changes.
This server cannot be deployed
Maintenance
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