TrackingTime MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add Time Entry, Create Project, Create Task, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TrackingTime through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The TrackingTime app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using TrackingTime, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About TrackingTime MCP Server
Connect your TrackingTime account to any AI agent and simplify how you manage your productivity, project tasks, and billable hours through natural conversation.
The Vercel AI SDK gives every TrackingTime tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Live Tracking — Start and stop timers for specific tasks instantly via AI commands to track your real-time activity.
- Task Management — Create, list, and update tasks, and organize them into specific projects for better workflow.
- Time Logging — Retrieve detailed logs of your time entries for any date range and manually add missing blocks of time.
- Project & Client Oversight — List all projects and customers to manage your business directory and assignments.
- Team Coordination — Query workspace users to understand team structure and member availability.
- Account Visibility — Fetch your user profile and verify account configurations directly from the agent.
The TrackingTime MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 TrackingTime tools available for Vercel AI SDK
When Vercel AI SDK connects to TrackingTime through Vinkius, your AI agent gets direct access to every tool listed below — spanning time-tracking, timesheets, billable-hours, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Manual time entry
Add new project
Add new task
Get current user
List project clients
List your projects
List your tasks
Get time logs
List team members
Start tracking time
Stop tracking time
Modify task
Connect TrackingTime to Vercel AI SDK via MCP
Follow these steps to wire TrackingTime into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the TrackingTime MCP Server
Vercel AI SDK provides unique advantages when paired with TrackingTime through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same TrackingTime integration everywhere
Built-in streaming UI primitives let you display TrackingTime tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
TrackingTime + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TrackingTime MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TrackingTime in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TrackingTime tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TrackingTime capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TrackingTime through natural language queries
Example Prompts for TrackingTime in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TrackingTime immediately.
"Start my timer for the 'Design Review' task."
"Show me all active tasks in the 'Marketing' project."
"What are my time logs for today?"
Troubleshooting TrackingTime MCP Server with Vercel AI SDK
Common issues when connecting TrackingTime to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTrackingTime + Vercel AI SDK FAQ
Common questions about integrating TrackingTime MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.