How to Use the Jestor MCP in Vercel AI SDK

Q: How do I list Jestor dashboards in Vercel AI SDK?

Use the listdashboards tool. It returns an array of your configured views which you can then pass to your agent to provide context on business metrics.

Connect Jestor to your Vercel AI SDK projects to stream live business records directly into your frontend components.

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Connect Jestor MCP to Vercel AI SDK

Create your Vinkius account to connect Jestor 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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Setup Jestor with Vercel AI SDK

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Real-time data streaming with Vercel AI SDK

Stop waiting for background jobs to finish. By using `list_records` and `get_record` within your streaming handlers, your UI updates the moment Jestor returns the data. Your users see the records populate as the agent fetches them. It makes your interface feel significantly faster than traditional polling.

Schema discovery inside your application

Never guess your database structure again. Use `list_objects` to pull the current table names and `get_object` to inspect fields before you write your display logic. This keeps your frontend code in sync with your backend database changes. It prevents runtime errors when field labels shift in Jestor.

Managing system logic via MCP

Audit your automated business logic from your code editor. The `list_workflows` and `list_webhooks` tools let your agent inspect what is running under the hood. You can now verify if a specific automation is active before triggering a manual task. It gives your AI context on why a record might have changed.

Setup guide

Set up Jestor 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 Jestor 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 Jestor transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jestor. 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

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Common questions about Jestor MCP in Vercel AI SDK

You initialize the client with your endpoint URL and pass the available tools into your generateText function. The SDK handles the transport layer automatically.

Yes. If you have the correct permissions, your agent can invoke tools to modify records. Always check `get_me` first to verify your current access level.

Absolutely. The HTTP transport works fine in edge environments. Just ensure your Jestor token is stored securely in your environment variables.

Use the `list_dashboards` tool. It returns an array of your configured views which you can then pass to your agent to provide context on business metrics.

The MCP server acts as a secure bridge. It only accesses the specific record or object you explicitly request via a tool call, keeping your database credentials off your frontend code.

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