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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AirMatch Pro as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The AirMatch Pro app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to AirMatch Pro. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
AirMatch Pro
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High SecurityEnterprise-grade
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V8 IsolateSandboxed
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<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.

LlamaIndex agents combine AirMatch Pro tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
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

Why Use LlamaIndex with the AirMatch Pro MCP Server

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

01

Data-first architecture: LlamaIndex agents combine AirMatch Pro tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain AirMatch Pro tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query AirMatch Pro, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what AirMatch Pro tools were called, what data was returned, and how it influenced the final answer

AirMatch Pro + LlamaIndex Use Cases

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

01

Hybrid search: combine AirMatch Pro real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query AirMatch Pro to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying AirMatch Pro for fresh data

04

Analytical workflows: chain AirMatch Pro queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for AirMatch Pro in LlamaIndex

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

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

AirMatch Pro + LlamaIndex FAQ

Common questions about integrating AirMatch Pro MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query AirMatch Pro tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.