How to Use the Channels MCP in Vercel AI SDK

Q: How do I list Channels contacts using Vercel AI SDK?

Call the listcontacts tool within your streamText function. The results return as a JSON object you can map directly into your React components.

Q: Can Vercel AI SDK trigger Channels webhooks?

Yes, use the createwebhook tool to register new endpoints. You can define these actions inside your server-side route handlers.

Stream live call stats and contact data into your Vercel AI SDK frontends without the wait.

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Connect Channels MCP to Vercel AI SDK

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

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Real-time contact management in Vercel AI SDK

Pipe customer data directly into your React components. Use `list_contacts` and `update_contact` to reflect changes on your dashboard as they happen. Your users won't stare at empty spinners while the AI fetches records. The data streams into the UI state via `create_contact` the moment the request hits the edge.

Fetch call recordings with Vercel AI SDK tools

Grab specific audio links using `get_call_recording` and render them immediately. You can trigger this via `list_calls` to build an interactive playback history. It handles the heavy lifting of media retrieval behind the scenes. Your frontend gets the URL and plays the file while the AI client maintains the conversation flow.

Query account metrics through Vercel AI SDK

Pull live usage numbers using `get_call_stats` to show active support volume. You can keep your team informed by surfacing `get_account_info` data in your custom admin panels. This MCP Server provides the raw numbers your application needs to render charts. You define the display, and the tools handle the data retrieval.

Setup guide

Set up Channels 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 Channels 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 Channels 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 Channels. 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 Channels MCP in Vercel AI SDK

Call the `list_contacts` tool within your `streamText` function. The results return as a JSON object you can map directly into your React components.

Yes, use the `create_webhook` tool to register new endpoints. You can define these actions inside your server-side route handlers.

It runs fine on the edge. The transport layer handles the HTTP connection, keeping your latency low during tool execution.

Your contact names and phone numbers reside in the Vinkius sandbox. We use transient memory, meaning your data clears once the session ends.

We enforce strict scope isolation for every tool call. Your credentials stay locked to the specific session, preventing any unauthorized access to your account details.

Use it with your favorite AI tools

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