How to Use the ClickTime MCP in Mastra AI

Q: How do I register the ClickTime tools inside a Mastra AI agent?

You initialize the client from @mastra/mcp with your Vinkius endpoint. Then, call mcpClient.listTools() and spread them directly into your agent's tool array to make things like listclicktimetasks instantly available.

Build automated ClickTime reporting workflows and auto-retry failed timesheet updates using Mastra AI.

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Connect ClickTime MCP to Mastra AI

Create your Vinkius account to connect ClickTime to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup ClickTime with Mastra AI

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Automate ClickTime Audit Workflows with Mastra AI

Mastra's workflow engine lets you build multi-step agents that check for unsubmitted hours without manual intervention. Your agent can run `list_time_entries` every Friday afternoon, identify missing blocks, and trigger alerts for lagging team members. If the ClickTime API experiences a brief hiccup, Mastra's built-in exponential backoff automatically retries the tool call. This ensures your automated payroll audits run to completion without crashing your backend pipelines.

Conditional Project Routing

When setting up new accounts, you often need to verify several data points before logging work. This MCP Server lets your agent run `list_clicktime_clients` to verify a client exists before calling `list_clicktime_projects` to find matching jobs. You can write a Mastra workflow that branches based on what the agent finds. If a project is missing, the workflow can pause, request human approval, and then resume logging once the administrator confirms the setup.

Bulk Data Extraction and Syncs

Moving thousands of entries into your billing system requires a highly stable execution loop. By using `get_high_volume_time_report`, your Mastra agent can pull up to 2,500 records in a single step and process them sequentially. Mastra handles these massive payloads gracefully, passing the structured JSON directly into your downstream tasks. This keeps your external accounting databases perfectly synced with your active ClickTime logs.

Setup guide

Set up ClickTime MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All ClickTime tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "clicktime-mcp-client",
  servers: {
    "clicktime-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "ClickTime Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to ClickTime tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent ClickTime transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ClickTime. 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

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Common questions about ClickTime MCP in Mastra AI

You initialize the client from `@mastra/mcp` with your Vinkius endpoint. Then, call `mcpClient.listTools()` and spread them directly into your agent's tool array to make things like `list_clicktime_tasks` instantly available.

This is easy to configure when exposing the MCP Server tools to your workflows. You can use Mastra's `requireToolApproval` flag to force the process to pause and wait for an admin's green light before running `get_high_volume_time_report` on your workspace.

Mastra uses a built-in workflow engine that handles API rate limits natively. If a tool call like `list_time_entries` gets throttled, the framework automatically backs off and retries the request until it succeeds.

You can build complex pipelines where the MCP Server supplies the raw timesheet data. The output of `get_my_clicktime_profile` automatically feeds into `list_clicktime_jobs` to filter tasks specific to the active user's current role.

Your company's billable hours, project codes, and user profiles fetched via `list_clicktime_users` are never stored permanently on the Vinkius platform. Every tool execution runs in an ephemeral, single-use V8 sandbox that is destroyed immediately after your workflow finishes.

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