How to Use the CallGear MCP in Vercel AI SDK

Q: Can Vercel AI SDK stream CallGear reports in real-time?

Yes. You can feed tools like getcommunicationsreport into streamText so your UI updates dynamically as the agent processes the phone and chat metrics.

Stream real-time call performance data and ad campaign stats directly into your Next.js frontend with Vercel AI SDK.

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Connect CallGear MCP to Vercel AI SDK

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

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Stream CallGear metrics to React with Vercel AI SDK

By pairing this MCP Server with `streamText`, your application renders incoming call logs directly from `get_calls_report` as they arrive to eliminate annoying loading spinners. The SDK handles the raw data stream from `get_site_daily_stats` and feeds it straight to your custom UI components. Your users get a live feed of visitor behavior and phone conversions without refreshing the page.

Instant campaign visualization at the Edge

Running your agent on Edge Functions means speed matters, which is why this setup uses `list_ad_campaigns` and `get_ad_campaigns_report` to fetch marketing metrics and render charts on the fly. Because Vercel AI SDK connects to the MCP client via a simple HTTP transport, you don't have to manage complex state. The agent pulls active traffic sources from `list_traffic_sources` and maps them directly to your UI.

Interactive call scenario mapping

Let your users audit their phone routing setups interactively by calling `list_call_scenarios` to fetch routing paths and hand them to your frontend. If you need to categorize these paths, the `list_tags` tool lets the agent organize incoming data. Users can modify or view tags right inside the chat window.

Setup guide

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

You configure your credentials on Vinkius, which handles the secure token handshake. Then, pass the single endpoint URL to `createMCPClient` in your Next.js route handler to start making calls.

Yes. You can feed tools like `get_communications_report` into `streamText` so your UI updates dynamically as the agent processes the phone and chat metrics.

It absolutely does. The connection relies on the standard MCP HTTP transport, meaning you can pull data from `list_users` or `get_account_info` without running into Node.js runtime limitations.

Wrap your SDK execution block in a standard try-catch block. If `get_calls_report` fails or returns empty data, your UI can catch the error instantly and render a fallback state.

Your raw call logs and phone numbers never touch Vercel's logging layers. Vinkius runs the MCP Server in an isolated sandbox, keeping sensitive customer communication records encrypted and completely private.

Use it with your favorite AI tools

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