Zed

Setup Zed to correctly generate Avo code based on your prompt.

Quick use

In Thread chat type this before your prompt

@fetch https://docs.avohq.io/4.0/llms-full.txt

Or in Text thread chat type this before your prompt

/fetch https://docs.avohq.io/4.0/llms-full.txt

MCP server

MCP is a an API to communicate with AI models. You can add MCP servers to your code editor and Cursor will communicate with them to get more accurate results.

I suggest using Context7 MCP server which provides many libraries including Avo's docs.

1. Press ⌘ CMD+⇧ Shift+P (or ⌃ Ctrl+⇧ Shift+P on Windows)

2. Type agent: add context server

3. Add this name and server:

# name
context7

# server
npx -y @upstash/context7-mcp@latest

Now in Agent Mode you can ask AI anything about Avo, and write use context7 at the end of your prompt.

For example:

create a new Avo resource for a product model. use context7