How to Use the timeghost MCP in Mastra AI

Q: Can Mastra AI agents use timeghost to update client records?

They can read client lists via listtimeghostclients to verify project associations. You can then build workflows that validate these associations before any time is officially recorded.

Q: How do I filter tasks for my Mastra AI agents using timeghost?

Use listtimeghosttasks with a specific project ID parameter. This narrows the focus for your agents, preventing them from pulling unnecessary data from your entire workspace.

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Automate entries with Mastra AI agents

Create reliable tracking loops that trigger whenever a task status changes in your project management system. By using `list_timeghost_tasks`, your agent can automatically find the right ID to associate with a new log. If the initial attempt to push data fails, the Mastra AI workflow engine handles the retry logic for you. You don't have to worry about manual interventions for common network hiccups when dealing with `get_timeghost_entry`.

Conditional branching for complex billing

Set up agents that check if a project is billable before logging time. Use `list_timeghost_projects` to determine the project type, then branch your workflow based on the result. This setup allows for human-in-the-loop verification where you require approval before `get_timeghost_task` logs are finalized. Your agent waits for the signal, ensuring your team only logs hours against approved tasks.

Monitor team progress through autonomous agents

Deploy agents that watch for missing entries by periodically calling `list_timeghost_entries` for your workspace members. If someone forgets to log their time, the agent can trigger a notification workflow. This keeps your data consistent without requiring you to manually audit the system. You use `list_timeghost_members` to identify who needs a nudge, keeping your project accounting accurate throughout the week.

Setup guide

Set up timeghost 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 timeghost 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: "timeghost-mcp-client",
  servers: {
    "timeghost-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about timeghost MCP in Mastra AI

Mastra AI handles retries natively in the workflow engine. Just add a retry policy to your tool call for `get_timeghost_entry` and the agent will handle failures automatically.

They can read client lists via `list_timeghost_clients` to verify project associations. You can then build workflows that validate these associations before any time is officially recorded.

Use `list_timeghost_tasks` with a specific project ID parameter. This narrows the focus for your agents, preventing them from pulling unnecessary data from your entire workspace.

Your workflow will pause or trigger an error handler. You can check the status using `check_timeghost_status` to decide whether to wait or alert an admin.

The server uses isolated workspace IDs to prevent cross-account access. Every request made to the API is scoped to the specific credentials you provide in your Mastra configuration.

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