Clockify MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Clockify through the 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Clockify, 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 Clockify MCP Server
Connect your Clockify account to any AI agent and take full control of your time tracking and project management through natural conversation. Streamline how you monitor work hours and team productivity natively.
The Vercel AI SDK gives every Clockify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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
- Workspace Oversight — List and retrieve details for all workspaces you have access to natively
- Project Intelligence — Access and monitor all projects and clients configured in your account flawlessly
- Time Tracking — List and retrieve details for all time entries for any user in your team securely
- Timer Management — Start and stop timers directly from your chat interface to ensure accurate logging flawlessly
- Team Logistics — List all users and team members within a workspace to understand allocation securely
- Productivity Auditing — Retrieve detailed time entry metadata including descriptions and project associations flawlessly
The Clockify 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 Clockify to Vercel AI SDK via MCP
Follow these steps to integrate the Clockify MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from Clockify and passes them to the LLM
Why Use Vercel AI SDK with the Clockify MCP Server
Vercel AI SDK provides unique advantages when paired with Clockify 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 Clockify integration everywhere
Built-in streaming UI primitives let you display Clockify 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
Clockify + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Clockify MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Clockify in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Clockify tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Clockify capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Clockify through natural language queries
Clockify MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Clockify to Vercel AI SDK via MCP:
add_new_time_entry
Add a new time entry to a workspace
get_my_clockify_profile
Retrieve information about the authenticated user
list_clockify_workspaces
List all workspaces the user has access to
list_user_time_entries
List time entries for a specific user in a workspace
list_workspace_clients
List all clients configured in a workspace
list_workspace_projects
List all projects within a specific workspace
list_workspace_users
List all users within a specific workspace
stop_current_timer
Stop the currently running timer for a specific user
Example Prompts for Clockify in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Clockify immediately.
"List all my Clockify workspaces."
"Show me the last 5 time entries for user 'John Doe'."
"Stop my running timer in the 'Engineering' workspace."
Troubleshooting Clockify MCP Server with Vercel AI SDK
Common issues when connecting Clockify to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpClockify + Vercel AI SDK FAQ
Common questions about integrating Clockify 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.Connect Clockify with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Clockify to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.