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How to Use the Jibble MCP in Vercel AI SDK

Stream Jibble time data directly into your Vercel AI SDK frontends for real-time workforce visibility.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Jibble MCP to Vercel AI SDK

Create your Vinkius account to connect Jibble 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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Live time entry tracking in AI-sdk

Feed your UI with live data using `list_time_entries`. Your users watch their time logs populate without waiting for a manual refresh. This integration hooks into your edge functions. It keeps your interface responsive while fetching the latest work hours.

Personnel and group management

Query your workforce hierarchy with `list_people` and `list_groups`. You get the exact IDs needed to filter reports for specific departments. Everything happens in your typescript code. You define the logic once and let the MCP server handle the connection to the Jibble API.

Project-based auditing

Connect `list_projects` and `list_activities` to your dashboard. You can show users exactly where their time goes by breaking down daily logs. It removes the need for manual data entry. Your AI client pulls the metadata and maps it to your project billing cycles instantly.

Setup guide

Set up Jibble 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. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Jibble tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Jibble transactions",
});

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

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

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 Jibble MCP in Vercel AI SDK

Install the MCP client package and point it to the Vinkius endpoint. You initialize the client and pass the tools directly into your streamText function.
Yes, but you handle the cache logic yourself. Since this MCP server provides direct access to the API, you can store results in your own database to minimize redundant requests.
The server provides the data on demand. When your AI client calls a tool, the Vinkius bridge fetches the latest state from the Jibble API immediately.
Use `get_person` to target specific employees. You pull their ID first, then use that ID to filter the output of other tools.
Vinkius manages the transport layer. Your Jibble API tokens never touch your client-side code, keeping your personnel and time-entry data isolated from the browser.

Start using the Jibble MCP today

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