Dev, web & IT
Design, code, host and ship sites and internal tools, with an AI editor doing most of the typing.
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Use MCP when your assistant is a chat app or no-code agent and the vendor offers an official server; it is the plug-and-play option. Use command-line tools or APIs when the agent already has a sandboxed shell: they cost no context until used and are easy to inspect. Either way, scope the credentials first.
There are two common ways to give an agent hands. MCP is a standard connector between AI apps and outside systems. A CLI (command-line tool) is a program the agent runs in a terminal, such as gh for GitHub or the Stripe CLI.
An MCP client loads each connected server’s tool descriptions into the model’s context, so the model knows what is available. A CLI costs nothing until the agent runs it, and the agent can read --help when it needs to. Simon Willison points out that this gives CLIs lazy loading for free.
Design, code, host and ship sites and internal tools, with an AI editor doing most of the typing.
Hand repeat admin (receipts, logs, notices, handoffs) to workflows your agent can trigger.
| Tool in this entry | How agents connect |
|---|---|
| Claude | Agent platform API/CLIBulk import |
| Cursor | Agent platform API/CLI |
| GitHub | MCPAPI/CLI |
| Stripe | MCPAPI/CLIBulk import |
| Railway | MCPAPI/CLI |
Levels come from each tool's recorded, sourced compatibility. How the levels work.
Practitioner views are restated in our words and labeled as views, not measured results. Product facts come from official sources dated above.
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