Free score

For merchants who work in an AI assistant

Run Beaconed from the assistant you already talk to.

Beaconed ships as an MCP server and a command line tool. Ask your assistant to score your catalog or draft a listing, and it does the work through your account. The approval rules do not change: it drafts, you publish.

Setup instructions API docs

Both packages are on npm. You need a Beaconed account and an API key.

bash · install 
npm install -g @beaconed/mcp
npm install -g @beaconed/cli

beaconed auth login
prompt · paste into your assistant

Read https://beaconed.ai/agent-setup and follow ALL the instructions to install the Beaconed MCP server and configure yourself to optimize my store's product listings. Ask me before making any config changes.

What this means if you are not a developer.

You type a sentence. The assistant uses your Beaconed account to do the work and reports back. Nothing reaches your store without you publishing it.

Ask for it

“Score my catalog and show me the worst ten”

The assistant reads your scores through Beaconed and gives you the list, with what is missing on each product.

Get drafts

“Draft descriptions for those ten in my voice”

Beaconed uses your voice profile and each product’s own facts. Drafts appear in your review queue, not on your store.

Keep control

“Publish the three I approved”

Publishing needs your approval in the app and in a chat window alike. Anything published can be reverted.

@beaconed/mcp

The MCP server

Model Context Protocol is how an assistant reaches tools outside itself. Register the Beaconed server once and your assistant can list products, read scores, request drafts and read the review queue, using your API key.

  • Works with Claude Code, Claude Desktop, Cursor, Cline and Zed
  • Scoped to the account the key belongs to
  • Cannot publish without a person approving

Register the server

@beaconed/cli

The command line tool

For scripts, scheduled jobs and anyone who would rather type than click. The same operations as the API, one command each.

bash 
beaconed products list --max-score 60
beaconed products optimize prod_8Kq2 --fields description,alt_text
beaconed optimizations list --status pending

Full command reference

Get a key, then point your assistant at it.

Create an account, generate an API key, and follow the setup page. If you would rather see the product first, run the free score on your store.

Create an account, free Run the free score

Writing the setup yourself?

The agent setup page is written for an assistant to read and follow, with config for each editor.

Questions: info@beaconed.ai.