OpenAI MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OpenAI through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 OpenAI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 OpenAI MCP Server
Connect the OpenAI API to any AI agent and unlock the full power of GPT models as composable tools.
The Vercel AI SDK gives every OpenAI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Chat Completions — Generate responses from GPT-4o, GPT-4o-mini, and other models
- Image Generation — Create images with DALL-E 3 from text descriptions
- Embeddings — Convert text to vector representations for semantic search
- Content Moderation — Check text for policy violations automatically
- Fine-tuning — Create and monitor custom model training jobs
- File Management — List uploaded files for training and assistants
- Assistants — Browse configured OpenAI Assistants
- Structured Output — Generate structured JSON responses from prompts
The OpenAI 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.
How to Connect OpenAI to Vercel AI SDK via MCP
Follow these steps to integrate the OpenAI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from OpenAI and passes them to the LLM
Why Use Vercel AI SDK with the OpenAI MCP Server
Vercel AI SDK provides unique advantages when paired with OpenAI through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same OpenAI integration everywhere
Built-in streaming UI primitives let you display OpenAI tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
OpenAI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OpenAI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OpenAI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OpenAI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OpenAI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OpenAI through natural language queries
OpenAI MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect OpenAI to Vercel AI SDK via MCP:
chat_completion
Specify model (gpt-4o, gpt-4o-mini, etc.) and messages array as JSON. Generate a chat completion using OpenAI models
create_embedding
Create text embeddings
create_fine_tune
Requires a previously uploaded JSONL training file ID. Create a fine-tuning job
generate_image
Returns the image URL. Generate an image with DALL-E 3
list_assistants
List OpenAI Assistants
list_files
List uploaded files
list_fine_tunes
List fine-tuning jobs
list_models
List available OpenAI models
moderate_content
Check content for policy violations
structured_output
Provide a system prompt and user message. Generate structured JSON output from a prompt
Example Prompts for OpenAI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with OpenAI immediately.
"Ask GPT-4o to summarize this document in 3 bullet points."
"Generate an image of a futuristic cityscape at sunset."
"Check if this text violates content policies."
Troubleshooting OpenAI MCP Server with Vercel AI SDK
Common issues when connecting OpenAI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpenAI + Vercel AI SDK FAQ
Common questions about integrating OpenAI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect OpenAI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OpenAI to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.