How to Use the Flock MCP in Vercel AI SDK

Q: Can I use Flock with AI SDK to build dashboards?

Yes. You can pull historical data using chatfetchmessages and render it as a feed. It provides the raw JSON you need to build custom message views.

Q: Does Flock work with AI SDK for private groups?

Yes. You use groupslistprivate to find the correct group ID and then pass it to other tools. It keeps your private workflows isolated from public noise.

Stream real-time Flock data directly into your React or Next.js UI using the AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Flock MCP to Vercel AI SDK

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Live Flock messaging in your UI

Pipe messages straight into your frontend components. Use `chat_send_message` to push updates that render instantly as rich FlockML. Your users won't stare at loading spinners. The data arrives as a stream, making your application feel fast and responsive.

Map Flock identities in the browser

Turn usernames into valid routing IDs using `roster_list_directory`. It resolves aliases to absolute UUIDs before your agent fires a request. This keeps your application state clean. You avoid routing errors because the tool confirms the identity mapping before the message hits the wire.

Manage channel access from edge functions

Check exactly who is in a room with `channels_list_members`. You get back a list of active UUIDs to verify permissions dynamically. It runs on the edge. You keep your logic close to the user while maintaining strict control over who sees what data.

Setup guide

Set up Flock 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 Flock 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 Flock 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 Flock. 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

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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 Flock MCP in Vercel AI SDK

You handle authentication via the environment configuration. The MCP server manages the connection, ensuring your tokens never leak into the client-side bundle.

Yes. You can pull historical data using `chat_fetch_messages` and render it as a feed. It provides the raw JSON you need to build custom message views.

Yes. You use `groups_list_private` to find the correct group ID and then pass it to other tools. It keeps your private workflows isolated from public noise.

Your data remains within your infrastructure. The MCP server only touches the specific Flock identity metadata and message content you request.

The server returns standard error codes. You catch these in your tool execution logic to trigger retries or user notifications.

Use it with your favorite AI tools

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

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