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How to Use the GrowthBook MCP in Vercel AI SDK

Stream feature flag states directly into your Vercel AI SDK frontends for real-time UI updates.

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Vercel AI SDK

Connect GrowthBook MCP to Vercel AI SDK

Create your Vinkius account to connect GrowthBook 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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Live feature flag control in Vercel AI SDK

Control your feature flags directly through your interface. Your agent uses `toggle_feature` to flip states without leaving the development flow. This MCP Server streams results straight to your application. Your users see live state changes in the UI as the AI completes its work.

Manage GrowthBook projects with AI SDK

Organize your experiments by calling `list_projects` and `get_project` within your edge functions. It keeps your feature hierarchy clear and accessible. Building dynamic dashboards becomes trivial when you use `create_project` to structure new work. The data flows into your components without extra latency.

Environment-aware deployments

Switch between staging and production contexts using `list_environments` and `update_environment`. You can verify your configuration before pushing changes. Automate your environment lifecycle by using `create_environment` during your build process. It keeps your deployment logic consistent across every stage.

Setup guide

Set up GrowthBook 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 GrowthBook transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GrowthBook. 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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Built-in savings

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Single dashboard

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place for every integration

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

Common questions about GrowthBook MCP in Vercel AI SDK

Connect the server via the HTTP transport in your configuration. You can then pass tools like `get_feature` directly into your streamText calls to pull current flag data.
It provides the tools, but your code manages the state. You trigger updates through the agent, and the server executes them against the API.
Yes, you can script `toggle_feature` within your agent's action loop. It allows for programmatic control based on your application's real-time events.
The server uses standard HTTP calls to the API. Performance depends on your network, but it is typically fast enough for interactive agent sessions.
Your API tokens are handled locally by the MCP client. We only transmit the specific feature flag configurations you request to the GrowthBook API.

Start using the GrowthBook MCP today

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