How to Use the InfoVetted MCP in Windsurf

Use InfoVetted inside Windsurf to automate candidate screening and background checks directly from your IDE.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect InfoVetted MCP to Windsurf

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

GDPR Free for Subscribers

Setup InfoVetted with Windsurf

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate background checks with Windsurf

Cascade pulls your candidate list using `list_screening_contacts` to identify who needs processing. It then triggers `create_new_vetting_check` to start the verification process without you leaving your editor. Once the process kicks off, Cascade uses `get_vetting_request_status` to track progress. You get the results injected straight into your workflow.

Manage contact groups for your team

Organize your hiring pipeline by calling `create_contact_group` to segment candidates by department or role. You can then quickly populate these groups using `create_screening_contact`. This keeps your data clean and actionable. Cascade can query these groups with `list_contact_groups` to ensure every candidate is in the right bucket before you initiate a check.

Verify InfoVetted health and status

Keep your pipeline moving by running `check_api_connectivity` whenever you suspect a lag. It tells you immediately if the server is responding. If you need to audit your setup, use `list_configured_webhooks` to see what events are firing. It's a quick way to ensure your automated triggers are still pointing where they should.

Setup guide

Set up InfoVetted MCP in Windsurf

Prerequisites

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

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the InfoVetted MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my InfoVetted payment history." If connected, Cascade will call the InfoVetted tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "infovetted-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 InfoVetted. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect InfoVetted now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about InfoVetted MCP in Windsurf

InfoVetted handles all sensitive background data within a secure sandbox environment. When you use Windsurf, the data only passes through the encrypted MCP connection to your local client, ensuring no PII is stored on your machine longer than necessary.

Yes. If an API call fails, Cascade detects the error code and can retry the request or notify you. You can inspect the logs directly in the terminal to see exactly why a check failed.

It is. You can write scripts that reference your local project files and InfoVetted data. The server provides the tools, and you decide how the data interacts with your codebase.

Open your MCP config file or use the Cascade settings UI. Add the server details there, click refresh, and the tools will appear in your command palette.

You can loop through contacts and trigger checks in sequence. Simply define your candidate list, and let the agent iterate through them using the provided toolset.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript