How to Use the HiBob MCP in Pydantic AI

Ensure type-safe HR automation by connecting Pydantic AI to HiBob.

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Connect HiBob MCP to Pydantic AI

Create your Vinkius account to connect HiBob to Pydantic 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 HiBob with Pydantic AI

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Perplexity

Type-safe HiBob integration for Pydantic AI

Every response from the HiBob MCP Server is validated against your Pydantic models at runtime. If the API returns unexpected data, the agent fails immediately to prevent logic errors. Use `get_leave_balance` or `get_whos_out` with confidence. Your structures will match the incoming data exactly, ensuring no silent corruption occurs.

Precise tool execution

Define your agents to perform specific HR actions like `invite_employee` or `request_time_off`. Because you use Pydantic AI, you define the schema for every input and output. This setup removes the risk of hallucinated fields. You get a reliable, repeatable way to manage employee requests through your code.

Strict data validation

Retrieve company settings using `list_company_settings_lists` and map them directly to your application models. You catch mismatches during development, not in production. Your agent maintains a clean state by relying on validated payloads. It keeps your HR records accurate and your code predictable.

Setup guide

Set up HiBob MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "hibob-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to HiBob tools.",
)

result = await agent.run("List recent HiBob transactions")
print(result.output)

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Common questions about HiBob MCP in Pydantic AI

Install the necessary library and use the MCPToolset class. Point it to your HTTP endpoint and pass the toolset into your agent configuration.

It provides runtime validation that ensures all data from HiBob matches your models. This prevents errors when handling sensitive payroll or profile information.

Yes. The agent validates the JSON string you pass to tools like `search_employees` or `request_time_off` before sending them to the API.

The server runs in an ephemeral, isolated environment. Your API key is encrypted and managed so only your agent can trigger the tools.

It manages payroll history, leave balances, and contact profiles. Each piece of information is treated as a typed object within your agent's flow.

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OpenAI Agents SDK sdk-python