How to Use the GitGuardian MCP in Vercel AI SDK

Q: How are incidents resolved in Vercel AI SDK?

Use resolvesecretincident to close tickets after review. It marks the incident as fixed in the backend, reflecting the state change globally.

Stream real-time secret detection results into your Vercel AI SDK interface without waiting for loading spinners.

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Connect GitGuardian MCP to Vercel AI SDK

Create your Vinkius account to connect GitGuardian to Vercel AI SDK 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 GitGuardian with Vercel AI SDK

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Live incident monitoring for Vercel AI SDK

Your agent fetches active security alerts instantly. It uses `list_secret_incidents` to pull data, which your frontend renders as the stream arrives. Stop waiting for batch processing. Direct integration ensures your dashboard updates the moment a threat appears.

Automated scanning via Vercel AI SDK

Trigger code analysis directly from your UI components. The `scan_content` tool processes snippets, returning findings that your React state handles immediately. You build the verification flow. The agent executes the check and updates the UI state in one cycle.

Honeytoken deployment for Vercel AI SDK

Provision traps to detect unauthorized access in your environment. Call `create_honeytoken` to generate credentials that trigger an alert if touched. Keep track of your decoys. The server exposes specific tools to verify their status without leaving your application environment.

Setup guide

Set up GitGuardian MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all GitGuardian tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent GitGuardian transactions",
});

console.log(text);
await mcpClient.close();

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 GitGuardian. 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.

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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 GitGuardian MCP in Vercel AI SDK

Install the MCP client packages and point them to your server URL. Use the exported tool functions within your `streamText` calls to enable direct interaction.

Yes. You can write custom logic to parse tool output before it hits the UI. This keeps sensitive data out of your client-side logs.

The server uses isolated transport layers. Your tokens remain on the server side, ensuring no leakage during the streaming process.

It handles concurrent requests efficiently. You should implement rate-limiting on your end if you trigger `multiscan_content` frequently.

Use `resolve_secret_incident` to close tickets after review. It marks the incident as fixed in the backend, reflecting the state change globally.

Use it with your favorite AI tools

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