How to Use the Freshteam MCP in Mastra AI

Q: How do I initialize Freshteam in Mastra AI?

Install @mastra/mcp@latest. Instantiate the MCPClient with your server URL, then call mcpClient.listTools() and spread the results into your Agent's tool array.

Q: Can Mastra AI handle Freshteam API failures?

The framework has built-in retry logic. If checkhrisstatus or any other tool hits a timeout, the workflow engine automatically applies exponential backoff and tries again.

Q: How do I review HR writes before execution?

Use the requireToolApproval flag. When the agent attempts to run createemployeerecord, the workflow pauses and waits for an administrator to confirm the payload.

Q: How does Mastra AI protect Freshteam employee records?

When your agent calls getemployeedetails, the resulting PII flows through a stateless, ephemeral execution layer. The MCP architecture ensures no HR metadata is logged or cached on the server hosting the integration.

Build resilient HR workflows and automated onboarding pipelines with Mastra AI and the Freshteam integration.

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Connect Freshteam MCP to Mastra AI

Create your Vinkius account to connect Freshteam 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 Freshteam with Mastra AI

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Automate Complex Onboarding

The `create_employee_record` tool writes new hire data directly into your HRIS using Mastra AI workflows. If an API call fails due to a rate limit, the framework's automatic exponential backoff kicks in and retries the operation. You can chain this with `list_office_branches` and `list_departments` to ensure the new employee is mapped correctly. The agent verifies the location and department IDs exist before attempting the creation step.

Mastra AI Applicant Pipelines

Your agents track candidate progress by calling `list_job_applicants` and `get_applicant_details`. You build conditional branches that trigger different actions based on the applicant's current interview stage. If the candidate passes the technical screen, the workflow moves them forward. Otherwise, the agent pulls the role requirements via `get_job_posting_details`. It then drafts a rejection notice for human review.

Manage PTO and Employee States

Running `list_time_off_requests` and `list_employees` gives your MCP Server the ability to audit leave balances across the company. You can set up scheduled tasks that pull this data every Friday to keep managers informed. Mastra handles the tool execution through `mcpClient.listTools()`. If an agent decides to approve a request, you can enforce a human-in-the-loop requirement using `requireToolApproval` before any data changes.

Setup guide

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

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

const result = await agent.generate(
  "List recent Freshteam 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 Freshteam. 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.

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Common questions about Freshteam MCP in Mastra AI

Install `@mastra/mcp@latest`. Instantiate the `MCPClient` with your server URL, then call `mcpClient.listTools()` and spread the results into your Agent's tool array.

The framework has built-in retry logic. If `check_hris_status` or any other tool hits a timeout, the workflow engine automatically applies exponential backoff and tries again.

Use the `requireToolApproval` flag. When the agent attempts to run `create_employee_record`, the workflow pauses and waits for an administrator to confirm the payload.

The client auto-detects your transport type. It supports both Streamable HTTP and SSE connections, depending on how you configure your deployment.

When your agent calls `get_employee_details`, the resulting PII flows through a stateless, ephemeral execution layer. The MCP architecture ensures no HR metadata is logged or cached on the server hosting the integration.

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