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`mcp-agent` gives you one programming model that scales from a laptop to a managed cloud runtime. You can deploy full agents **and** standalone MCP servers (FastMCP services, ChatGPT App backends, bespoke tool APIs) without rewriting your app. This section maps the deployment options, explains when to reach for each path, and points to the detailed runbooks that follow.
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## Why deploy with `mcp-agent`?
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-**Durable workflows when you need them** – the same decorators (`@app.tool`, `@app.async_tool`, `@app.workflow`) run on `asyncio` locally and on Temporal in the cloud. Pause/resume, retries, and human-in-the-loop all come along for free.
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-**Operational guardrails** – the CLI manages build artifacts, secrets, auth configuration, client installation, and observability so you can focus on agent logic.
-**Managed (mcp-c)** – `mcp-agent deploy` bundles your project, processes secrets, and ships it to our hosted environment. Agent workflows execute on Temporal, stdio MCP servers run as sidecar containers, and you get managed auth, logging, and tracing. [Learn the architecture →](/cloud/mcp-agent-cloud/architecture-overview)
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3.**Observability is turned on** – logs are streamed through the `mcp-agent cloud logger tail` API and you can forward traces to any OTLP endpoint.
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4.**Clients install with one command** – `mcp-agent install` or `mcp-agent cloud configure` writes the right headers/URLs into Claude Desktop, Cursor, VS Code, or ChatGPT Apps.
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