Orchly MCP Server: connect your data to AI clients

MCP Server

Point Claude, Cursor, or any MCP-compatible tool at your Orchly workspace and just ask. You get answers from the same numbers the dashboard shows, in whatever assistant you already work in.

Most of the time you open Orchly to look something up: a visibility score, who's pulling ahead, which sources AI keeps citing. The MCP server skips that trip. You ask your assistant in plain language, it reads your live Orchly data, and it answers, no dashboard, no exports.

Connect it in three steps

  1. Add the server to your AI tool using the URL below. The setup guide has the exact steps per client.
  2. Sign in once with your Orchly account and approve access. The session sticks around.
  3. Start asking. Try "How has our AI visibility changed over the last 30 days?" and go from there.

Ask your data anything

A few things people reach for first:

Want concrete examples? See use cases and prompts.

Where to point your client

Whatever tool you use, these three values are all it needs:

Property Value
Server URL https://app.orchly.ai/api/mcp
Transport Streamable HTTP
Authentication OAuth 2.1 or API key

Sign in once

Pick whichever your client supports:

Either route, the assistant only ever sees what your own workspace and permissions allow.

What it reads, what it changes

Think of it as mostly read-only: 26 of the 36 tools just fetch what's already there, visibility, citations, sentiment, traffic, and the rest.

The remaining 10 actually touch your setup, adding a prompt, creating a topic, tracking a competitor, kicking off a task. Read tools run on their own; write tools carry a hint that makes your client stop and ask before it commits. The tools reference lays out all 36.

Clients it works with

Anything that speaks the Model Context Protocol. We've written step-by-step setup for:

Grab the steps in the setup guide.

Before you connect

You'll need an Orchly account with at least one workspace, and a tool that supports MCP. That's it.