Can I search for candidates by their name or status?

Yes! Use the `search_candidates` tool with a filter like `first_name:"John"`. The agent will return matching profiles from your CATS database.

How do I see the latest notes added to a candidate?

Use the `list_recruitment_activities` tool. Your agent will fetch the recent activity feed, which includes notes, status changes, and emails for all candidates.

Where do I find my CATS v3 API Key?

Log in to your CATS account, go to 'Administration' and look for the 'API' section. You can generate and copy your v3 key from there.

CATS ATS MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: CATS ATS
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

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

    result = await agent.run(
        "What tools are available in CATS ATS?"
    )
    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 CATS ATS MCP Server

Connect your CATS Applicant Tracking System (ATS) account to any AI agent and take full control of your recruitment pipeline through natural conversation. Streamline candidate sourcing and job management.

Pydantic AI validates every CATS ATS tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

Candidate Discovery — Search and list candidate profiles with detailed contact information and status natively
Job Oversight — List and retrieve details for all active job orders and open positions flawlessly
Activity Tracking — Monitor recent recruitment activities, notes, and interactions securely
Organizational Mapping — List client companies and associated contacts within your ATS flawlessly
HAL-native Integration — Access deep object relationships through the CATS v3 HAL API structure in real-time
Pipeline Analysis — Audit candidate progress across different recruitment stages directly within your workspace

The CATS ATS MCP Server exposes 8 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 CATS ATS to Pydantic AI via MCP

Follow these steps to integrate the CATS ATS 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 8 tools from CATS ATS with type-safe schemas

Why Use Pydantic AI with the CATS ATS MCP Server

Pydantic AI provides unique advantages when paired with CATS ATS 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 CATS ATS integration code

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

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

CATS ATS + Pydantic AI Use Cases

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

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

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

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

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

CATS ATS MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect CATS ATS to Pydantic AI via MCP:

get_candidate_details

Get detailed information for a specific candidate

get_job_details

Get detailed information for a specific job order

list_candidates

List recruitment candidates

list_job_orders

List job orders and open positions

list_recruitment_activities

List recent recruitment activities and notes

list_recruitment_companies

List client companies in the ATS

list_recruitment_contacts

List contacts associated with companies

search_candidates

Search for candidates using filters

Example Prompts for CATS ATS in Pydantic AI

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

"Search for candidates named 'Sarah' in my CATS ATS."

"What are the active job orders right now?"

"Show me the last 10 recruitment activities."

Troubleshooting CATS ATS MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CATS ATS + Pydantic AI FAQ

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