How do I get an API Key for Freshteam?

Log in to your Freshteam account, click on your Profile Icon in the top right corner, select 'API Settings', and copy 'Your API Key'.

What is my 'Domain prefix'?

Your domain prefix is the first part of your Freshteam URL (e.g. if your URL is 'acme.freshteam.com', the prefix is 'acme').

Can I see all applicants for a specific job?

Yes! First use the 'list_job_postings' tool to get the Job ID, then use 'list_job_applicants' with that ID to see everyone who applied.

Is it possible to add a new employee via the agent?

Yes, use the 'create_employee_record' tool. Provide the first name, last name, and official email to instantly add them to your HRIS directory.

Freshteam MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Freshteam
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Freshteam through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Freshteam "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Freshteam?"
    )
    print(result.data)

asyncio.run(main())

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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 Freshteam MCP Server

Connect your Freshteam account to any AI agent to automate your HR operations and recruitment workflows through the Model Context Protocol (MCP). Freshteam is the smart HR software by Freshworks that handles everything from recruiting and onboarding to time-off management. This MCP server enables you to manage your employee directory, track active job postings, and retrieve applicant data directly through natural conversation.

Pydantic AI validates every Freshteam tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Key Features

Employee Directory — List all employees, retrieve detailed HR profiles, and programmatically create new employee records.
Recruitment Tracking — Access your active job postings and list all applicants for specific roles to manage your hiring pipeline.
Applicant Discovery — Retrieve detailed candidate profiles and application statuses instantly.
Time-off Management — Monitor employee time-off requests and leave balances to ensure proper workforce coverage.
Organization Structure — Access configured departments, job roles, and office branches to understand your company's hierarchy.
Real-time Synchronization — Keep your HR data accessible to your AI assistant without leaving your primary workspace.

The Freshteam MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI 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 Freshteam to Pydantic AI via MCP

Follow these steps to integrate the Freshteam MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Freshteam with type-safe schemas

Why Use Pydantic AI with the Freshteam MCP Server

Pydantic AI provides unique advantages when paired with Freshteam through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Freshteam integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Freshteam connection logic from agent behavior for testable, maintainable code

Freshteam + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Freshteam MCP Server delivers measurable value.

Type-safe data pipelines: query Freshteam with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Freshteam tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Freshteam and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Freshteam responses and write comprehensive agent tests

Freshteam MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Freshteam to Pydantic AI via MCP:

check_hris_status

Verify API connection

create_employee_record

Create an employee

get_applicant_details

Get candidate profile

get_employee_details

Get employee metadata

get_job_posting_details

Get job metadata

list_departments

List HR departments

list_employees

List HR employees

list_job_applicants

List job candidates

list_job_postings

List active job openings

list_job_roles

List job roles

list_office_branches

List office locations

list_time_off_requests

List leave requests

Example Prompts for Freshteam in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Freshteam immediately.

"List all active job postings in Freshteam."

"Show me the HR profile for employee 'Jane Smith'."

"Create a new employee record for 'John Doe' (johndoe@email.com)."

Troubleshooting Freshteam MCP Server with Pydantic AI

Common issues when connecting Freshteam to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Freshteam + Pydantic AI FAQ

Common questions about integrating Freshteam MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Freshteam MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.