How to Use the CometAPI MCP in Vercel AI SDK
Stream CometAPI data directly into your Vercel AI SDK React components without the wait.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up CometAPI MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 CometAPI tools. Pass them directly togenerateText()orstreamText()— 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.
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
Use it with your favorite AI tools
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