How to Use the Breezy HR Alternative MCP in Pydantic AI

Q: How do I register the Breezy HR Alternative with a Pydantic AI agent?

Initialize the MCPToolset with your Vinkius HTTP endpoint URL. Pass this toolset instance directly into your Agent constructor within the toolsets list to automatically validate all incoming recruiting data.

Q: Can Pydantic AI handle validation failures from the Breezy HR Alternative?

Yes. If a tool like listcandidates returns data that violates your defined schemas, Pydantic AI throws a validation error. You can catch these exceptions to gracefully handle API changes or dirty data.

Q: How do I add a new applicant to a job opening?

Call addcandidate with the target position ID and applicant details. The tool registers the candidate under the specific job, allowing you to track their progress immediately.

Build type-safe recruitment pipelines in Pydantic AI with runtime validation for candidate data.

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Connect Breezy HR Alternative MCP to Pydantic AI

Create your Vinkius account to connect Breezy HR Alternative 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 Breezy HR Alternative with Pydantic AI

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Strict runtime validation for candidate profiles

The `get_candidate` tool fetches candidate profiles and passes them directly to Pydantic AI for strict runtime validation. If the API returns unexpected or malformed data, the framework raises a validation error immediately rather than letting the agent hallucinate details. This guarantees your Python code always receives structured, reliable data. Your downstream processes can safely parse email addresses, phone numbers, and resumes without fear of type errors.

Type-safe job position lookups using MCP Server

This MCP Server exposes job details through `get_position` and `list_positions` to ensure your job matchers only work with valid schemas. Every job requirement, department name, and location field is validated against your Pydantic models before your agent processes them. This prevents runtime crashes when analyzing active roles. You can confidently build automated job-matching agents that operate on clean, verified structural data.

Automated company profile verification

The `get_company` tool retrieves organization details and validates them against your application's schema. Your agent uses `list_companies` to find the correct entity, ensuring all company metadata matches your strict internal types. Having guaranteed types makes it easy to integrate this data with internal databases. You don't have to write custom parsing code to clean up API responses.

Setup guide

Set up Breezy HR Alternative 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": {
        "breezy-hr-alternative-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Breezy HR Alternative transactions")
print(result.output)

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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 Breezy HR. 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 Breezy HR Alternative MCP in Pydantic AI

Initialize the `MCPToolset` with your Vinkius HTTP endpoint URL. Pass this toolset instance directly into your `Agent` constructor within the `toolsets` list to automatically validate all incoming recruiting data.

Yes. The toolset supports both Streamable HTTP and SSE transports. You must run the server externally and point your Pydantic AI configuration to the correct HTTP or SSE endpoint.

Yes. If a tool like `list_candidates` returns data that violates your defined schemas, Pydantic AI throws a validation error. You can catch these exceptions to gracefully handle API changes or dirty data.

Call `add_candidate` with the target position ID and applicant details. The tool registers the candidate under the specific job, allowing you to track their progress immediately.

Vinkius manages this MCP Server within a secure, isolated V8 sandbox. Candidate profiles and position details are processed purely in memory during the execution lifecycle, ensuring no sensitive recruitment data is stored or logged.

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