How to Use the Equixly MCP in Cline

Q: How does Cline handle the scan results?

It pulls the full vulnerability breakdown using getscanfindings. The agent reads the remediation guidance and applies the fix directly to your VS Code workspace.

Turn Cline into an automated security engineer that pentests APIs, retrieves exploitation evidence, and writes patches directly in VS Code.

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Connect Equixly MCP to Cline

Create your Vinkius account to connect Equixly to Cline 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 Equixly with Cline

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Target Provisioning via Cline MCP Server

You finish writing a new REST endpoint in VS Code and tell Cline to secure it. The agent immediately calls `create_service` to register your live base URL with the Equixly MCP Server. It doesn't stop there. Cline finds your GraphQL or Postman file in the workspace and executes `upload_api_spec`. This feeds the exact schema to the pentesting engine so it knows exactly where to attack.

Active Exploitation Monitoring

You don't need to leave the editor to run a security audit. Cline uses `trigger_scan` to start an autonomous penetration test against your newly registered service via the MCP Server. The agent can monitor the progress by calling `list_scans` and `get_scan`. It reads the total requests made and the attack vectors attempted, giving you a live summary of the assault right in your VS Code sidebar.

Automated Vulnerability Patching

Finding a flaw is only half the battle. When the pentest finishes, Cline runs `get_scan_findings` to download every exploitable vulnerability, including the exact request and response evidence. Because Cline can edit files, it maps the affected HTTP method and path to your source code. It writes the remediation logic for the broken authentication or IDOR flaw, stages the commit, and shows you the diff. If the environment was temporary, it cleans up by calling `delete_service`.

Setup guide

Set up Equixly MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type equixly-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Equixly refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about Equixly MCP in Cline

Open the Cline sidebar and click the MCP Servers icon. You can add it via the Remote Servers tab using the Streamable HTTP transport URL.

The tool needs a live base URL to attack. You must expose your local environment via a tunnel before having Cline call `create_service`.

The pentesting engine looks for OWASP Top 10 vulnerabilities, BOLA, and injection flaws. Cline initiates this sequence using the `trigger_scan` command.

It pulls the full vulnerability breakdown using `get_scan_findings`. The agent reads the remediation guidance and applies the fix directly to your VS Code workspace.

The integration only shares the specific base URLs and API specifications you explicitly tell the agent to upload. The resulting exploitation evidence and vulnerability reports are delivered straight to your local machine, keeping your sensitive security posture data out of public LLM training sets.

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