For merchants who work in an AI assistant
Run Beaconed from the assistant you already talk to.
Add Beaconed's hosted MCP server to your assistant with one address and a sign-in. Ask it 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.
No install and no API key. The npm MCP server and command line tool are still available below.
Read https://beaconed.ai/agent-setup and follow ALL the instructions to connect yourself to Beaconed so you can help optimize my store's product listings. Ask me before making any config changes.
Hosted, no install
Connect with one address.
Beaconed runs the MCP server for you. Add it to any assistant that supports remote MCP connectors, sign in, and you are done.
https://mcp.beaconed.ai/mcp
1. Add the connector
Paste the address into your assistant
In Claude, open Settings, then Connectors, and choose Add custom connector. Give it a name and paste the address. Other tools that support remote MCP connectors take the same address.
2. Sign in and allow
Approve it on Beaconed
Your assistant opens a Beaconed sign-in. Pick the account to connect (one you own or administer), check what the connection is allowed to do, and choose Allow access. Beaconed shows the tool by name and marks it unverified, which is expected.
3. Ask
Talk to it like you would a colleague
No API key and nothing to install. Access lasts 90 days, then your assistant asks you to sign in again.
Things to ask once it is connected
- “Which ten products have the lowest readiness scores, and what is missing on each?”
- “What is waiting in my review queue right now?”
- “Why does my best seller score lower than the rest of the catalog?”
- “Draft new descriptions for those ten products.” needs write access
- “Approve the three drafts I liked and publish them.” needs write access
Reading scores and the review queue always works. Drafting, approving and publishing work only when the consent screen listed those permissions and you allowed them. Drafts use your credits, and publishing still waits for you to say so.
See or revoke access
Every connection is listed under Connected assistants (beaconed.ai/mcp/connections), with a Disconnect button for each one. The page opens on your default account.
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.
Install it yourself
Prefer to run it locally?
Both packages are on npm and use an API key from your account settings. Use them for editors without remote connectors, scripts, and scheduled jobs.
@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.
npm install -g @beaconed/mcp
npm install -g @beaconed/cli
beaconed auth login
- Works with Claude Code, Claude Desktop, Cursor, Cline and Zed
- Scoped to the account the key belongs to
- Cannot publish without a person approving
@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.
beaconed products list --max-score 60
beaconed products optimize prod_8Kq2 --fields description,alt_text
beaconed optimizations list --status pending
Create an account, then connect your assistant.
Create an account, add the connector address to your assistant, and sign in. If you would rather see the product first, run the free score on your store.
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.