How to Use the Flagsmith MCP in Vercel AI SDK

Q: Can Flagsmith manage user-specific features in Vercel AI SDK?

Yes. You trigger identifyuser followed by getidentityflags to retrieve the correct feature set for the current user. This allows for targeted rollouts within your interface.

Control feature releases directly in your Vercel AI SDK frontends by toggling Flagsmith states without leaving your code.

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Connect Flagsmith MCP to Vercel AI SDK

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

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Real-time flag state updates

Use `update_flag_v2` to push configuration changes to your application instantly. Your UI updates as the AI agent completes its logic, removing the lag between a decision and its execution. This bypasses manual dashboard clicking. You get immediate feedback loops by calling these tools directly from your streaming handlers.

Context-aware identity management

Call `identify_user` to attach specific traits to a session before fetching overrides. This ensures your frontends render personalized experiences based on the active user context. Pair this with `get_identity_flags` to render different components based on the returned values. Your React or Next.js app responds to these triggers in the same stream.

Environment configuration access

Fetch current environment snapshots using `get_environment_document` to debug state issues. You can verify the entire setup before triggering changes. Use `get_environment_flags` for a quick list of all default values. This keeps your state management logic synchronized with the source of truth in Flagsmith.

Setup guide

Set up Flagsmith 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 Flagsmith 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 Flagsmith 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 Flagsmith. 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

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Common questions about Flagsmith MCP in Vercel AI SDK

You instantiate the MCP client and pass the tools into your generation function. The server handles the connection, letting the AI call the relevant tools to fetch or push flag data.

Yes. You trigger `identify_user` followed by `get_identity_flags` to retrieve the correct feature set for the current user. This allows for targeted rollouts within your interface.

It does. Because the tool results stream back to your frontend, you can update your UI state as soon as the Flagsmith tool finishes executing.

You must close the connection using the client close method. This ensures you don't leave hanging requests open in your environment.

The server only processes the specific identity traits you pass during the identification call. No raw PII is stored by the MCP bridge itself during the request.

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