Getting started

Give your AI packaging taste

Models are good at code and copy, but packaging needs references: real formats, closures, label hierarchies, palettes and finishes that work on shelf. Packinspo MCP gives agents that research layer, grounded in shipped products rather than generic defaults.

What you need

• Nothing to sign up for. The server is free, read-only and needs no API key.
• A tool that supports remote MCP servers over Streamable HTTP: Claude Code, Claude (web and desktop), Codex, Cursor, VS Code, Gemini CLI, ChatGPT (developer mode) and others.

Server URL

https://packinspo.com/mcp

Connect your tool

Claude Code: plugin with MCP and skill

/plugin marketplace add packinspo/packinspo-skill
/plugin install packinspo@packinspo

Claude Code: MCP only

claude mcp add --transport http packinspo https://packinspo.com/mcp

Claude (web and desktop): Settings → Connectors → Add custom connector, then paste the server URL.

Codex: add to ~/.codex/config.toml

[mcp_servers.packinspo]
url = "https://packinspo.com/mcp"

Cursor: add to .cursor/mcp.json

{ "mcpServers": { "packinspo": { "url": "https://packinspo.com/mcp" } } }

VS Code: add to .vscode/mcp.json

{ "servers": { "packinspo": { "type": "http", "url": "https://packinspo.com/mcp" } } }

Gemini CLI

gemini extensions install https://github.com/packinspo/packinspo-skill

ChatGPT: in developer mode, add a connector with the server URL (available on plans that allow custom connectors).

stdio-only clients

npx -y mcp-remote https://packinspo.com/mcp

Check that it works

Ask your agent:

List the Packinspo packaging categories.

It should call list_taxonomy and return industries, categories, formats and materials.

Limits

The server allows fair use per connection (about 120 requests a minute). Responses are Markdown with absolute URLs and photo credits.