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ClickTime MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ClickTime 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 ClickTime, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
ClickTime
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ClickTime MCP Server

Connect your ClickTime account to any AI agent and take full control of your time tracking and resource management through natural conversation. Streamline how you monitor billable hours and project progress natively.

The Vercel AI SDK gives every ClickTime tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Time Oversight — List and retrieve details for all time entries including hours and descriptions natively
  • Project Intelligence — Access and monitor all projects and clients configured in your account flawlessly
  • Resource Management — List all users and people in the company to understand team allocation securely
  • Task Logistics — Access work types and tasks available for time tracking to ensure accurate data entry flawlessly
  • Reporting Deep-Dives — Retrieve high-volume time reports and daily completeness summaries flawlessly
  • User Visibility — Access your own profile and API authentication details directly within your workspace

The ClickTime MCP Server exposes 8 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 ClickTime to Vercel AI SDK via MCP

Follow these steps to integrate the ClickTime 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 8 tools from ClickTime and passes them to the LLM

Why Use Vercel AI SDK with the ClickTime MCP Server

Vercel AI SDK provides unique advantages when paired with ClickTime 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 ClickTime integration everywhere

03

Built-in streaming UI primitives let you display ClickTime 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

ClickTime + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the ClickTime MCP Server delivers measurable value.

01

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

02

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

03

Chatbots with tool use: embed ClickTime capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with ClickTime through natural language queries

ClickTime MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect ClickTime to Vercel AI SDK via MCP:

01

get_high_volume_time_report

Retrieve a high-volume report of time entries (up to 2500 records)

02

get_my_clicktime_profile

Retrieve information about the currently authenticated user

03

list_clicktime_clients

List all clients configured in ClickTime

04

list_clicktime_jobs

List all jobs (active and inactive) in the system

05

list_clicktime_projects

List all projects configured in ClickTime

06

list_clicktime_tasks

List all tasks (work types) available for time tracking

07

list_clicktime_users

List all people and users in the company

08

list_time_entries

List time tracking entries

Example Prompts for ClickTime in Vercel AI SDK

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

01

"List all time entries from today in ClickTime."

02

"Show me all clients configured in my account."

03

"What is the high-volume time report status?"

Troubleshooting ClickTime MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ClickTime + Vercel AI SDK FAQ

Common questions about integrating ClickTime 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 ClickTime to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.