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CometAPI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Api Health, Convert Text To Speech, Create Ai Chat Completion, and more

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CometAPI through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The CometAPI app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using CometAPI, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
CometAPI
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About CometAPI MCP Server

Connect your CometAPI account to any AI agent and take full control of your multimodal AI workflows through a single, perfectly coordinated intelligence layer.

The Vercel AI SDK gives every CometAPI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Multimodal Orchestration — Execute chat completions, generate high-fidelity images, and convert speech to text across 500+ cutting-edge models (GPT-4, Claude, Midjourney, etc.)
  • Model Discovery — Access complete directories of available LLM, image, and audio models supported by the aggregator directly through your agent
  • Provider Intelligence — List and monitor supported AI providers (OpenAI, Anthropic, Google) to ensure the perfect model selection for your specific tasks
  • Financial Visibility — Programmatically track your credit consumption and pricing information to maintain operational oversight of your AI budget
  • Operational Monitoring — Check real-time API health and verify user profile metadata directly through your agent for reliable multimodal operations

The CometAPI MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 CometAPI tools available for Vercel AI SDK

When Vercel AI SDK connects to CometAPI through Vinkius, your AI agent gets direct access to every tool listed below — spanning model-aggregation, generative-ai, multimodal, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Verify API status

convert_text_to_speech

Convert text to audio

create_ai_chat_completion

Supports GPT-4, Claude, Gemini, etc. Generate AI text response

generate_ai_image

Generate an image from a prompt

get_api_usage_statistics

Get account usage and costs

get_current_user

Get authenticated user profile

get_pricing_information

Retrieve model pricing info

list_available_ai_models

List all supported AI models

list_supported_ai_providers

) supported by the aggregator. List integrated AI providers

transcribe_audio_to_text

Transcribe audio files

Connect CometAPI to Vercel AI SDK via MCP

Follow these steps to wire CometAPI into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 10 tools from CometAPI and passes them to the LLM

Why Use Vercel AI SDK with the CometAPI MCP Server

Vercel AI SDK provides unique advantages when paired with CometAPI through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same CometAPI integration everywhere

03

Built-in streaming UI primitives let you display CometAPI tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

CometAPI + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the CometAPI MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query CometAPI in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate CometAPI tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed CometAPI capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with CometAPI through natural language queries

Example Prompts for CometAPI in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CometAPI immediately.

01

"Generate a summary of the latest AI trends using GPT-4."

02

"Create a high-res image of a sustainable city using Midjourney."

03

"What is my current credit balance and average daily cost?"

Troubleshooting CometAPI MCP Server with Vercel AI SDK

Common issues when connecting CometAPI to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

CometAPI + Vercel AI SDK FAQ

Common questions about integrating CometAPI MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.