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How to Use the timeghost MCP in Vercel AI SDK

Stream time entries directly into your Vercel AI SDK interface without waiting for background syncs.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect timeghost MCP to Vercel AI SDK

Create your Vinkius account to connect timeghost to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Real-time task tracking with Vercel AI SDK

Connect your frontend directly to your time tracking data to show work progress as it happens. Using `check_timeghost_status` ensures your connection is active before you start pulling live updates into your UI. Your users see the results instantly because the Vercel AI SDK streams MCP tool outputs straight to the browser. This eliminates the need for clunky loading states when fetching data via `get_timeghost_entry` or `list_timeghost_entries`.

Manage project data in your web components

Display active project lists or specific task details by calling `list_timeghost_projects` directly from your server-side code. This gives you full control over how you render project metadata in your dashboard. Inject `get_timeghost_project` or `get_timeghost_task` results into your components to build custom views. You get the raw data you need to display active billing codes or task descriptions without navigating away from your application.

Organize workspaces through your app logic

Query your available workspaces using `list_timeghost_workspaces` to dynamically switch between different organizational buckets. This lets you build multi-tenant tools that respect user-defined boundaries. Filter team output by using `list_timeghost_members` to see exactly who is logging time against specific initiatives. You keep your app logic clean by handling all authorization and data fetching inside your existing TypeScript workflow.

Setup guide

Set up timeghost 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 timeghost 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 timeghost 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 timeghost. 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 timeghost MCP in Vercel AI SDK

Use `list_timeghost_entries` within your tool call configuration to filter by user ID. The Vercel AI SDK will handle the stream so you can display the resulting JSON array as soon as the API responds.
Yes, you pass `get_timeghost_project` to your agent tools. The agent will then retrieve the specific project details and format them into the chat response for the end user.
It does, provided your network allows the connection to the MCP endpoint. You just initialize the client in your edge route handler and call the tools as needed.
Pass your credentials through the `authProvider` when you set up the MCP client. This keeps your tokens secure while allowing the server to interact with your workspace data.
The server only touches the specific time entries and project metadata you request. We secure this via your Vercel environment variables, ensuring no data leaks outside your authenticated session.

Start using the timeghost MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

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