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MCP prompts work in two requests: prompts/list discovers the templates a server offers, and prompts/get returns the chosen prompt as messages for the model. Tool calls are a separate step.
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A hands-on MCP prompt tutorial: select an investigation prompt, follow its procedure with authorised tools, form a hypothesis from evidence, verify the root cause, and recommend a fix.
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An MCP prompt is a reusable instruction template that an MCP server offers to AI applications. The user selects it, fills in arguments, and the language model follows the procedure, using tools only when the application allows.
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Learn the two basic ways an application can grow—from upgrading one machine to sharing work across many machines.
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Deploy Next.js to Azure App Service with GitLab CI/CD. Learn Git setup, secure variables, pipeline configuration, verification, and troubleshooting tips.
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Test identity and access boundaries with focused Vitest checks, safe integration tests and realistic Playwright journeys—without exposing credentials or authentication state.
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