How to Use the JobProgress (Leap) MCP in Vercel AI SDK

Stream real-time field data into your Vercel AI SDK frontends with this MCP Server.

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Connect JobProgress (Leap) MCP to Vercel AI SDK

Create your Vinkius account to connect JobProgress (Leap) 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 JobProgress (Leap) with Vercel AI SDK

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Direct field data streaming in Vercel AI SDK

Feed your UI live project updates by connecting this MCP Server to your Vercel AI SDK project. You can pipe the `list_jobs` output directly into your state management to show users exactly what is happening in the field without a manual refresh. This setup works perfectly with Edge Functions. Your application receives the raw JSON response from `list_customers` and `get_job`, allowing you to render data components the moment the agent finishes its work.

Real-time task and workflow management

Keep your team synchronized by pulling current status updates through `list_workflows` and `list_tasks`. Your AI client can now explain the exact phase a project is in, giving your users immediate clarity on their daily schedule. You don't need to build custom middleware for this. Just initialize the client and let the Vercel AI SDK handle the stream while the server fetches the specific `get_customer` details you need for your dashboard.

Instant access to JobProgress (Leap) records

Stop digging through buried records by letting your agent query `list_proposals` and `list_estimates` on demand. When a user asks about a specific project, the agent fetches the data instantly. This integration keeps your frontend clean and fast. By calling `list_users` or `list_appointments` through the provided tools, your app stays updated with the latest organizational information.

Setup guide

Set up JobProgress (Leap) 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 JobProgress (Leap) 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 JobProgress (Leap) transactions",
});

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

Get your connection token →

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Common questions about JobProgress (Leap) MCP in Vercel AI SDK

Install the required packages and point your client to the Vinkius endpoint. Use the `createMCPClient` method in your route handlers to establish the connection.

Yes, it is built for that. The tool outputs are designed to be consumed by your stream handlers, ensuring your UI updates as the data arrives.

You can filter the data by passing your logic into the tool calls. The server returns the full list, and your agent processes the specifics.

Your connection uses a unique endpoint token. All traffic is encrypted and handled within the Vinkius environment.

We treat your customer names, project addresses, and financial estimates as private. No data is stored on our servers; it passes through the encrypted pipe directly to your client.

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