Agents & MCP

Build useful agents.
Keep the work clear.

Coming soonAgent skills, MCP templates, and ready-to-use examples are on the way.

Explore practical patterns for giving an AI agent a goal, the right tools, and a way to check the result. Start with a repeatable workflow before adding more automation.

Explore workflows ↗Browse tools →

A simple agent loop● ● ●

01Define the goalInputs, constraints, and an expected result 02Choose the toolsGive access only to what the task needs 03Check the outputReview evidence before taking action

Start here

Practical building blocks

Use existing AI Craft Pad resources to plan, execute, and review an agent workflow.

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Workflows

Map a repeatable sequence before you automate it.

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Tools

Choose a focused utility for each real task.

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Guides

Learn how to inspect results and improve the next run.

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MCP in context

Connect capabilities with purpose.

MCP can give an agent a standard way to use connected tools and data. Define the task, limit the tools, and review outputs before anything consequential happens.

Start with a task

Write down the input, the desired output, and the checks that mark success.

Add only needed tools

Keep the connected capabilities small enough to understand and verify.

Review the result

Check sources and outputs before publishing, purchasing, or changing live systems.

Ready for a concrete workflow?

Browse practical methods and adapt one to your own task.

Explore workflows ↗

Build useful agents.Keep the work clear.