Drive BeeRanked with AI

Updated June 21, 2026

BeeRanked speaks MCP (the Model Context Protocol), the open standard that lets AI agents use external tools. That means you can point your own AI agent at your BeeRanked workspace and have it research, draft, optimize, and publish content for you, using your own model, with no extra AI cost from us.

What this unlocks

Connect an agent (Claude, or anything that supports MCP) and it can work your workspace through a set of safe tools:

  • See what exists, list your brands and content, read a page in full.

  • Create drafts from a prompt or an outline.

  • Optimize for search, generate metadata and structured data.

  • Set objectives, give the workspace publishing goals.

  • Publish, take a finished draft live, or schedule it for later.

Because it runs on your model (bring your own LLM), you are not paying us per token. You pay for your own AI, and BeeRanked is the engine it drives.

Get connected

1. Open Developers in the Studio and create an API key. Keep it secret, it grants access to your workspace.

2. Point your MCP client at the BeeRanked MCP endpoint and give it the key.

3. Ask your agent to list your brands to confirm it is connected, then put it to work.

Safe by design

The one rule that never bends: an agent never publishes anything on its own. create_draft always produces a draft a human reviews and publishes. An agent can prepare a week of content in minutes, but you stay in control of what actually goes live. Publishing is always a deliberate step, by you or by a tool you explicitly call.

A good first workflow

Have your agent draft a batch of posts from a list of topics, enrich each one for search, and leave them as drafts. You skim them in the Studio, fix anything that needs a human touch, and publish the ones you like. The agent does the volume; you keep the judgment.

Building on top of BeeRanked yourself? See Add Domain Connect to your SaaS and How to build a plugin.