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How to Use the CometAPI MCP in Vercel AI SDK

Stream CometAPI data directly into your Vercel AI SDK React components without the wait.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect CometAPI MCP to Vercel AI SDK

Create your Vinkius account to connect CometAPI 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 streaming for Vercel AI SDK

Pipe `convert_text_to_speech` or `generate_ai_image` outputs straight into your front-end components. Your users watch the media render in real-time as the stream hits the browser. Stop relying on static loading spinners. This MCP server pushes results as they arrive, keeping your interface reactive and snappy.

Track CometAPI costs in your edge functions

Call `get_api_usage_statistics` inside your serverless routes to monitor consumption per session. You get raw data on every request your Vercel AI SDK app makes. Keep your billing logic close to your code. It's a simple way to stay under budget while scaling your production endpoints.

Manage your CometAPI model inventory

Use `list_available_ai_models` to update your UI dynamically based on the current provider list. Your app stays in sync with backend changes automatically. Never hardcode your dropdowns again. Pull the latest options directly from the server whenever you initialize your client.

Setup guide

Set up CometAPI 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 CometAPI 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 CometAPI 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 CometAPI. 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.

Real-time monitoring

Live

visibility into every interaction

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 CometAPI MCP in Vercel AI SDK

Install the package and use the createMCPClient helper. Point it at your Vinkius endpoint, and you're ready to map the tools to your generateText calls.
Yes, it is fully compatible. The lightweight transport ensures your edge functions stay within execution limits while fetching data.
Absolutely. You can run the usage tool at the end of each session to log specific costs associated with that user's activity.
Pass your Vinkius-managed token through the authProvider configuration. The client handles the headers for every subsequent request.
Vinkius handles all secrets in an ephemeral sandbox. Only your specific CometAPI usage tokens touch our servers, and they never persist in your local environment.

Start using the CometAPI MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for CometAPI. Just plug in your AI agents and start using Vinkius.

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