How do I get API access for BrioHR?

You must reach out to the BrioHR support team at support@briohr.com. They will provide your credentials and require your IP addresses for whitelisting before you can connect.

Can my AI automatically list all active job postings?

Yes! Use the `list_job_postings` tool. Your agent will retrieve all current vacancies from your BrioHR recruitment module, including titles and IDs.

How do I retrieve the payroll summary for a specific month?

Use the `get_payroll_summary` tool with the month (MM) and year (YYYY). The agent will return the headcount and total calculations for that period.

BrioHR MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: BrioHR
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BrioHR 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 BrioHR "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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 BrioHR MCP Server

Connect your AI agents to BrioHR, the all-in-one HR software designed to simplify the management of your greatest asset: your people. This MCP provides 10 tools to automate HR data orchestration, from employee record synchronization and leave monitoring to claim report retrieval and recruitment oversight.

Pydantic AI validates every BrioHR 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

Employee Insights — Download main information for all employees and retrieve detailed individual profiles including roles and departments
Time-Off Orchestration — Monitor who is away within specific date ranges and retrieve detailed leave requests for any employee
Financial Integration — Access approved claim reports for external payroll/accounting syncing and monitor monthly payroll summaries
Talent Acquisition — List active job postings and monitor candidates through the recruitment pipeline
Performance & Org — Track performance appraisal cycles and inspect organizational department structures

The BrioHR 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.

How to Connect BrioHR to Pydantic AI via MCP

Follow these steps to integrate the BrioHR 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 10 tools from BrioHR with type-safe schemas

Why Use Pydantic AI with the BrioHR MCP Server

Pydantic AI provides unique advantages when paired with BrioHR 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 BrioHR integration code

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

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

BrioHR + Pydantic AI Use Cases

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

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

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

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

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

BrioHR MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect BrioHR to Pydantic AI via MCP:

get_employee_details

Get detailed profile for a specific employee

get_payroll_summary

Get payroll overview for a specific month

get_who_is_away

List employees who are currently away or scheduled for leave

list_claim_reports

Retrieve approved claim reports for payroll integration

list_departments

List organizational departments

list_employees

Download the main information for all employees

list_job_candidates

List candidates for a specific job

list_job_postings

List active job openings in the recruitment module

list_leave_requests

Retrieve leave requests for an employee

list_performance_appraisals

List performance review cycles

Example Prompts for BrioHR in Pydantic AI

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

"Who is away in my company between 2024-05-01 and 2024-05-15?"

"List all active job postings in my BrioHR account."

"Show the payroll summary for January 2024."

Troubleshooting BrioHR MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BrioHR + Pydantic AI FAQ

Common questions about integrating BrioHR 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 BrioHR MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.