Short answer
MCP setup often needs instructions, config, and examples. A package manager can keep that setup together so teams do not rebuild it by hand.
Words used in this guide
- AIPM: a tool that installs and updates reusable AI instructions.
- Package: a named group of files that people can install and update together.
- Config: settings that tell a tool how to work.
- MCP: a standard way for an AI tool to connect to other tools and information.
What this means
MCP setup has many small parts
A team may need server names, settings, private values, use instructions, and safety notes. People can easily miss these details when copying them by hand.
A package gives the setup a home
A package can explain what the MCP server does and when to use it. It can also list the private values and files that users need.
AIPM can grow with target support
AIPM can install the right files for each AI tool. MCP setup also needs clear steps that people can use again.
Simple steps to create and AI agent
- Write down what the MCP server is for.
- List the safe config files and private values separately.
- Add usage examples for the assistant.
- Package the public setup notes.
- Keep secrets out of the package.
Where to go next
If you want to try this in a real project, start with the install guide, then read how to use AIPM. If you want to share your own workflow, read the publishing guide.
FAQ
Should MCP secrets go into a package?
No. A package can explain which secrets are needed, but the secret values should stay private.
Why package MCP setup?
It helps every project use the same setup rules instead of rebuilding them from memory.