2,500+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

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

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 KPA Flex "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
KPA Flex
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 KPA Flex MCP Server

Connect your AI agent to KPA Flex to maintain a safe and compliant workplace with real-time data access.

Pydantic AI validates every KPA Flex 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.

Key Features

  • Inspection Auditing — List and retrieve detailed safety inspection reports to identify workplace hazards
  • Employee Compliance — Access individual employee EHS profiles including training and certification status
  • Form Schema Access — View field definitions for custom audits and reporting forms
  • Asset Inventory — Audit equipment and company assets managed within the KPA Flex ecosystem
  • Safety Intelligence — Retrieve high-level site statistics and perform deep searches across all safety reports

How to setup

1. Subscribe to this server
2. Log in to KPA Flex and generate an API Key from your profile or admin settings
3. Enter your key in the configuration panel
4. Start managing your EHS data via natural language

The KPA Flex 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 KPA Flex to Pydantic AI via MCP

Follow these steps to integrate the KPA Flex MCP Server with Pydantic AI.

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 KPA Flex with type-safe schemas

Why Use Pydantic AI with the KPA Flex MCP Server

Pydantic AI provides unique advantages when paired with KPA Flex 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 KPA Flex 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 KPA Flex connection logic from agent behavior for testable, maintainable code

KPA Flex + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

KPA Flex MCP Tools for Pydantic AI (10)

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

01

get_employee_ehs_profile

Get EHS profile for an employee

02

get_flex_site_stats

Get high-level safety statistics

03

get_form_schema

Get schema for a specific form

04

get_inspection_details

Get details for an inspection

05

list_company_assets

List equipment and assets

06

list_custom_forms

List available custom forms

07

list_ehs_inspections

List all safety inspections

08

list_flex_employees

List employees in the system

09

list_safety_trainings

List training records

10

search_ehs_reports

Search through all EHS reports

Example Prompts for KPA Flex in Pydantic AI

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

01

"List all safety inspections from the last 7 days"

02

"Check compliance profile for employee 'EMP-555'"

03

"Search reports for keywords 'forklift incident'"

Troubleshooting KPA Flex MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

KPA Flex + Pydantic AI FAQ

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

Connect KPA Flex to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.