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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect AirMatch Pro through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The AirMatch Pro app connector for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "airmatch-pro": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using AirMatch Pro, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with AirMatch Pro through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 10 tools from AirMatch Pro via MCP

Why Use LangChain with the AirMatch Pro MCP Server

LangChain provides unique advantages when paired with AirMatch Pro through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine AirMatch Pro MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across AirMatch Pro queries for multi-turn workflows

AirMatch Pro + LangChain Use Cases

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

01

RAG with live data: combine AirMatch Pro tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query AirMatch Pro, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain AirMatch Pro tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every AirMatch Pro tool call, measure latency, and optimize your agent's performance

Example Prompts for AirMatch Pro in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

AirMatch Pro + LangChain FAQ

Common questions about integrating AirMatch Pro MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.