Engineering

How to Use QVeris in Cursor

How to Use QVeris in Cursor

Step-by-step guide: install the QVeris extension in Cursor and let your AI call thousands of real tools.

What can Cursor + QVeris actually do?

Many people’s experience with AI today looks like this:

💬 “AI is smart — but it can only talk, not act.”

For example:

  • It can analyze markets, but can’t access real-time financial data
  • It can plan workflows, but API calls often fail
  • It can write code, but doesn’t know which tool to use

QVeris exists to solve exactly this problem.

Our goal is simple:

Enable AI to reliably, affordably, and deterministically call real-world tools and data in a chaotic internet environment.

Once you connect QVeris inside Cursor:

  • AI no longer hallucinates data
  • You don’t need to manually integrate dozens of APIs
  • Agents can complete a full Search → Decide → Act loop

So How to Use QVeris in Cursor ?

Step 1: Install the QVeris Plugin

Open Cursor

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Click the small arrow in the top-left corner to expand the menu,then open Extensions

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Search for QVeris AI,then clickInstall

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Step 2: Register on QVeris and Get Your API Key

After installation, find QVeris AI again in Extensions

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Click “Sign in with Browser”

In the popup, click Open — you’ll be redirected to the QVeris website,then sign up or log in

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Generate your API Key

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⚠️ Important:

You’ll need this API key when calling tools via QVeris later.

Step 3: Create a Project in Cursor

Click File → Open Folder

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Create a new folder (for example: code-for-example)

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Tell the AI What You Want

You can now start chatting with AI in the right panel to build your project.

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Next, let’s walk through a simple example using QVeris.

In Cursor Chat, try something like:

“Create a web page, collect the latest posts from some Al-relatedbloggers on platform X and display a list.”

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You can expand the response to see which tools were actually called behind the scenes.

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When using QVeris inside Cursor, make sure to:

  • Explicitly mention
  • @qveris
  • .mdc
  • Leave a space before
  • @qveris
  • .mdc
  • Include your QVeris API Key

This tells Cursor that the agent should execute real-world tools, not just generate text.

Cursor vs QVeris: Different Roles, One Workflow

  • Cursor solves: how AI writes better code
  • QVeris solves: how AI actually does things in the real world

When you connect them together:

You’re no longer just writing code — you’re building agents that can take action.