Introducing MCP in Orchly AI

Most questions about your visibility start the same way:

"How are we doing?"

Which prompts are we winning? What changed this week? Which competitors are gaining ground? Which pages are earning citations?

Until now, those answers lived inside Orchly.

With the Orchly MCP Server, they can live wherever you work.

Connect Orchly to Claude, Cursor, or any MCP-compatible client and ask questions about your visibility, prompts, citations, rankings, competitors, and traffic in plain English.

No dashboards. No reports to assemble.

Just ask.

What MCP is, briefly

You do not need to be a developer to use this, so here is the short version. MCP, the Model Context Protocol, is a standard way for AI clients like Claude and Cursor to reach outside data and tools.

Connect Orchly as one of those tools, and your assistant can read your visibility, prompts, citations, rankings, and AI traffic, then answer in context, using your numbers instead of generic ones.

How to connect it

Add the server to your MCP client. In most clients that is a few lines of config pointing at the Orchly endpoint.

{
"mcpServers": {
"orchly": {
"url": "https://app.orchly.ai/api/mcp"
}
}
}

Once it is connected, Orchly shows up the way any other connected source does.

The MCP documentation walks through setup for the common clients. The data stays yours, read through your own connection. We are not adding a new place for it to live, just a new way for you to reach it.

How Teams Are Using It

1. Ask questions instead of opening dashboards

Most visibility checks start with a question, not a report.

Which prompts did we gain visibility on this week?

What pages are earning the most citations in Perplexity?

Which competitor grew the fastest on ChatGPT over the last month?

Instead of opening Orchly and navigating reports, you can ask your assistant and get the answer immediately.

2. Turn visibility data into team updates

Ask your assistant to review the last week's visibility changes and draft a Slack update for the team.

The assistant pulls the real numbers from Orchly, identifies the biggest wins and losses, and turns them into a summary that is ready to share.

3. Investigate changes without losing context

If you spend most of your day in Cursor, Claude, or another AI client, MCP keeps you there.

When a page loses citations or visibility drops for an important prompt, you can investigate directly from the conversation you're already having instead of switching tools and rebuilding context.

4. Research competitors conversationally

Ask questions like:

• Which prompts does Competitor X appear in that we don't?
• Where is their visibility growing fastest?
• Which pages are earning them citations?

Your assistant can pull the data from Orchly and help analyze it, turning competitor research into a conversation instead of a reporting exercise.

5. Build workflows on top of your visibility data

Many teams use MCP as the bridge between Orchly and their daily workflows.

Generate content ideas from low-visibility prompts. Create briefs from competitor gaps. Draft reports from weekly visibility changes. The assistant already knows how to do the work. MCP gives it access to the data.

Get started

Add the endpoint to your MCP client, reconnect, and ask it the first question on your mind. The setup guide is in the MCP docs.

Then tell me what you asked it first. Those opening questions tell us more about what to build next than any survey we could run.