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MyHR MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Create Absence Request, Create Employee, Get Employee Details, and more

Built by Vinkius GDPR 10 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The MyHR app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 MyHR "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
MyHR
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 MyHR MCP Server

Connect your MyHR account to any AI agent and manage human resources through natural conversation.

Pydantic AI validates every MyHR tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.

What you can do

  • Employees — List, create, and view detailed employee profiles
  • Absences — Track leave requests and create new absence records
  • Timesheets — Browse employee timesheet entries
  • Configuration — List departments, offices, marital statuses, and gender options

The MyHR MCP Server exposes 10 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.

All 10 MyHR tools available for Pydantic AI

When Pydantic AI connects to MyHR through Vinkius, your AI agent gets direct access to every tool listed below — spanning employee-management, leave-tracking, timesheets, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_absence_request

Create a new absence request

create_employee

Create a new employee

get_employee_details

Get employee details

list_absences

List all employee absences

list_departments

List organization departments

list_employees

List all employees

list_gender_options

List gender options

list_marital_statuses

List marital status options

list_offices

List organization offices

list_timesheets

List all timesheets

Connect MyHR to Pydantic AI via MCP

Follow these steps to wire MyHR into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from MyHR with type-safe schemas

Why Use Pydantic AI with the MyHR MCP Server

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

01

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

02

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

03

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

04

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

MyHR + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for MyHR in Pydantic AI

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

01

"List all employees and show their departments."

02

"Create an absence request for employee 42 next Monday."

03

"Show timesheets and current absence requests."

Troubleshooting MyHR MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

MyHR + Pydantic AI FAQ

Common questions about integrating MyHR MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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