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GitScrum Time Tracking MCP Server for Vercel AI SDK 28 tools — connect in under 2 minutes

Built by Vinkius GDPR 28 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GitScrum Time Tracking through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 GitScrum Time Tracking, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
GitScrum Time Tracking
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* 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 GitScrum Time Tracking MCP Server

What you can do

  • Live time tracking — start, stop, and manage timers on any task with one command
  • Manual time logging — record retroactive time entries with exact start/end timestamps and descriptions
  • Productivity analytics — access team reports, individual productivity scores, and timeline visualizations
  • Budget monitoring — check budget burn-down, consumption breakdowns, risk alerts, and project budget health
  • Daily standups — get automated standup summaries, yesterday's completions, current blockers, and stuck tasks
  • Team insights — review contributor activity scores, weekly digests, and per-member time breakdowns

The Vercel AI SDK gives every GitScrum Time Tracking tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 28 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

The GitScrum Time Tracking MCP Server exposes 28 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.

How to Connect GitScrum Time Tracking to Vercel AI SDK via MCP

Follow these steps to integrate the GitScrum Time Tracking MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 28 tools from GitScrum Time Tracking and passes them to the LLM

Why Use Vercel AI SDK with the GitScrum Time Tracking MCP Server

Vercel AI SDK provides unique advantages when paired with GitScrum Time Tracking through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same GitScrum Time Tracking integration everywhere

03

Built-in streaming UI primitives let you display GitScrum Time Tracking tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

GitScrum Time Tracking + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the GitScrum Time Tracking MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query GitScrum Time Tracking in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate GitScrum Time Tracking tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed GitScrum Time Tracking capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with GitScrum Time Tracking through natural language queries

GitScrum Time Tracking MCP Tools for Vercel AI SDK (28)

These 28 tools become available when you connect GitScrum Time Tracking to Vercel AI SDK via MCP:

01

budget_alerts

Get budget threshold alerts

02

budget_burndown

Get budget burn-down chart data

03

budget_consumption

Get budget consumption breakdown

04

budget_events

Get budget event log

05

budget_overview

Get project budget overview

06

completed_yesterday

Get tasks completed yesterday

07

contributors

Filter by period (week, month, quarter, year). Get contributor activity summary

08

delete_time_entry

Delete a time tracking entry

09

get_active_timer

Only one timer can be active at a time. Get the currently running timer

10

get_task

Use this to verify a task before starting a timer. Get task details by UUID

11

list_tasks

Filter by status (todo, in-progress, done). List project tasks for time tracking

12

list_time_entries

List time tracking entries for a project

13

log_manual_time

Use for retroactive time logging. Create a manual time entry

14

my_tasks

Ideal for quickly finding what to track time on. Get tasks assigned to me across all workspaces

15

my_today_tasks

Perfect for daily time tracking workflow. Get tasks due today

16

productivity_report

Get productivity report

17

projects_at_risk

Get projects at budget risk

18

standup_blockers

Get current blockers

19

standup_summary

Get daily standup summary

20

start_timer

Only one timer can be active at a time. Use stop_timer to end it. Start a timer on a task

21

stop_timer

Stop the running timer

22

stuck_tasks

Get stuck tasks

23

team_status

Get team member status

24

team_time_report

Get team time report

25

time_analytics

Get time tracking analytics

26

time_reports

Get comprehensive time reports

27

time_timeline

Get time entries timeline

28

weekly_digest

Get weekly activity digest

Example Prompts for GitScrum Time Tracking in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GitScrum Time Tracking immediately.

01

"Start a timer on task WEB-42 in the web-app project."

02

"Give me the standup summary for today."

03

"Which projects are at budget risk?"

Troubleshooting GitScrum Time Tracking MCP Server with Vercel AI SDK

Common issues when connecting GitScrum Time Tracking to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

GitScrum Time Tracking + Vercel AI SDK FAQ

Common questions about integrating GitScrum Time Tracking MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect GitScrum Time Tracking to Vercel AI SDK

Get your token, paste the configuration, and start using 28 tools in under 2 minutes. No API key management needed.