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MCP Release Checklist

Before handing over your connection, work through access, failed requests, repeated actions, and the AI apps you intend to support.

What this means for your project

Check an AI connection before sharing it with other people. MCP is a shared way for an AI assistant to use tools in your app.

It works for you. What about the next person?

The demo finally works. You send it to a friend, and their first question is one you had not tested: what happens when the connection drops? Use this checklist before that handoff to work through access, failures, and the AI apps you want to support.

How do I use the checklist?

Download the text file, open it in your editor, and ask your AI to go through it with you. Check each answer against your project. A completed checklist is a record of your checks, not a certification.

Not sure where to start? Ask about a project like yours.

Made for your next build

Builders about to share an MCP server, a program that lets an AI assistant use tools in other software.

What you get

  • Checks for what each tool accepts and returns, and who can use it
  • Checks for repeated actions and recovery after failures
  • A template to record which AI apps and setups you tested
  • A template to compare time and token use, the units used to measure AI input and output

Before you choose

  • This is a Markdown text checklist you can read and edit, not a working MCP server.
  • It provides no measured performance results or certification that an AI app will work.

What has been checked?

This helps you check your AI connection step by step. It does not promise a particular time saving or reduction in your AI bill.

Read the MyPhotoAI case study