How to Use the GPTZero MCP in Cursor

Q: How do I integrate GPTZero with the Cursor agent?

Add this MCP Server configuration to your .cursor/mcp.json file. Once configured, your agent can call detectaiintext on any open file or code comment.

Q: Can Cursor automatically run GPTZero on my markdown files?

Yes, you can instruct the agent to run detectaiintext on any markdown file in your workspace. It will analyze the prose and output the confidence scores directly in your terminal or chat.

Q: How do I manage my GPTZero API limits inside Cursor?

Your agent can run getapiquotas to check your remaining credits. This prevents your automated workspace scripts from failing due to exhausted limits.

Q: What models can I use for detection?

The listavailablemodels tool returns the list of active detection engines. You can instruct your agent to target specific versions based on your project needs.

Q: Is the code or prose analyzed by the server kept private?

The text payloads sent via detectaiintext are transmitted securely to the detection API. Because Vinkius runs this MCP Server in an isolated, zero-trust sandbox, your project files and intellectual property are never cached or exposed.

Run real-time AI detection on your project files and drafts directly inside Cursor.

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Connect GPTZero MCP to Cursor

Create your Vinkius account to connect GPTZero to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup GPTZero with Cursor

Ask AI about this MCP

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Perplexity

Run instant prose audits inside Cursor

The `detect_ai_in_text` tool scans your files and documentation to highlight machine-written syntax. Your agent can read your active workspace files, send the raw string to the API, and report back with exact probability metrics. This keeps your documentation looking natural and human-written. You don't have to copy and paste text back and forth between your editor and a web browser.

Track your API health and quotas

The `check_api_health` tool monitors your connection status to this MCP Server. It makes sure your API key is active and the endpoint is responding before you run large batch scans. You can also call `get_api_quotas` to monitor credit consumption during long coding sessions. It keeps your developer budget predictable.

Configure this MCP Server for your workspace

The `get_usage_policy` tool retrieves the active rate limits and operational rules directly from the API. This lets your agent space out automated text scans to avoid hitting rate limits. If you need to debug a score with this MCP integration, run `get_interpretation_guide` to see the exact threshold definitions. It gives you the technical context needed to understand the raw scores.

Setup guide

Set up GPTZero MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the GPTZero MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent GPTZero transactions." If the MCP tools are loaded correctly, Cursor will call the GPTZero tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "gptzero-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GPTZero. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about GPTZero MCP in Cursor

Add this MCP Server configuration to your `.cursor/mcp.json` file. Once configured, your agent can call `detect_ai_in_text` on any open file or code comment.

Yes, you can instruct the agent to run `detect_ai_in_text` on any markdown file in your workspace. It will analyze the prose and output the confidence scores directly in your terminal or chat.

Your agent can run `get_api_quotas` to check your remaining credits. This prevents your automated workspace scripts from failing due to exhausted limits.

The `list_available_models` tool returns the list of active detection engines. You can instruct your agent to target specific versions based on your project needs.

The text payloads sent via `detect_ai_in_text` are transmitted securely to the detection API. Because Vinkius runs this MCP Server in an isolated, zero-trust sandbox, your project files and intellectual property are never cached or exposed.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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