How to Use the Convex MCP in Vercel AI SDK

Stream Convex database responses directly into your Vercel AI SDK frontends for real-time UI updates without the loading spinners.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Convex MCP to Vercel AI SDK

Create your Vinkius account to connect Convex 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.

GDPR Free for Subscribers

Setup Convex with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Read Convex data in Vercel AI SDK

Trigger `run_query` to pull live records from your backend into your React or Next.js application. Your users watch data populate the interface as the agent finishes its work. This bypasses the typical lag associated with state updates. You get immediate feedback loops in your production environment.

Execute write operations via Vercel AI SDK

Invoke `run_mutation` to update database state based on user input or agent reasoning. The operation hits your backend endpoint instantly. It keeps your data layer in sync without requiring extra boilerplate code. You maintain control over every database change from the client side.

Trigger complex Convex logic from Vercel AI SDK

Use `run_action` when you need to handle side effects or external API calls. Your agent manages the request flow while the server handles the heavy lifting. You avoid blocking the main thread during long-running tasks. Everything stays responsive for the end user.

Setup guide

Set up Convex 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 Convex 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 Convex 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 Convex. 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.

Connect Convex now

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 Convex MCP in Vercel AI SDK

Install the MCP packages and pass the HTTP transport URL into your client configuration. You then map the available tools into your streamText calls to start interacting with your data.

Yes, it runs on the edge without issues. You just need to ensure your environment variables are set correctly for the MCP connection.

Your data stays private because this MCP Server uses an ephemeral connection model. Only the specific records requested by the agent are ever exposed to the client session.

You can chain multiple calls within a single turn. The SDK handles the sequence so your UI reflects the final state after all operations finish.

The server returns a standard error object that your frontend code catches. You should implement basic try-catch blocks to handle these scenarios gracefully.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript