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AirMatch Pro MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Check Airmatch Status, Create Proposal, Get Lead, and more

Built by Vinkius GDPR 10 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The AirMatch Pro app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 AirMatch Pro "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
AirMatch Pro
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 AirMatch Pro MCP Server

Connect your AirMatch Pro account to any AI agent and take full control of your HVAC sales engineering and automated proposal workflows through natural conversation.

Pydantic AI validates every AirMatch Pro 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

  • Lead & Proposal Orchestration — List and manage your entire HVAC sales pipeline programmatically, retrieving detailed technical proposals and customer status
  • Financial Intelligence Sync — Programmatically monitor and sync sales data with QuickBooks to maintain a perfectly coordinated audit trail for your HVAC business
  • Project Architecture — Access your complete directory of HVAC installations and maintenance projects to oversee your organizational resource allocation in real-time
  • Engagement Monitoring — Access real-time lead interaction metadata and track proposal acceptance directly through your agent for instant operational reporting
  • Operational Monitoring — Verify account-level API connectivity and monitor sales volume directly through your agent for perfectly coordinated firm scaling

The AirMatch Pro 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.

All 10 AirMatch Pro tools available for Pydantic AI

When Pydantic AI connects to AirMatch Pro through Vinkius, your AI agent gets direct access to every tool listed below — spanning airmatch-pro, hvac-sales-api, proposal-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_airmatch_status

Verify AirMatch Pro API connectivity

create_proposal

Optionally link to an existing customer. Create a new proposal

get_lead

Get lead details

get_profile

Get your AirMatch Pro profile

get_proposal

Get proposal details

list_customers

List all customers

list_estimates

List all estimates

list_jobs

List all jobs

list_leads

List all leads

list_proposals

List all proposals

Connect AirMatch Pro to Pydantic AI via MCP

Follow these steps to wire AirMatch Pro into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 AirMatch Pro with type-safe schemas

Why Use Pydantic AI with the AirMatch Pro MCP Server

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

AirMatch Pro + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for AirMatch Pro in Pydantic AI

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

01

"List all active proposals for 'John Smith'."

02

"Check the QuickBooks sync status for yesterday's sales."

03

"Retrieve the last 5 leads captured in AirMatch Pro."

Troubleshooting AirMatch Pro MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AirMatch Pro + Pydantic AI FAQ

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