hvac-quotes

hvac-quotes

Enables HVAC equipment Request for Quote (RFQ) management via MCP, allowing users to submit RFQs, check status, and compare quotes from distributors.

Category
Visit Server

README

HVAC Quotes MCP

mcp-name: io.github.wmarceau/hvac-quotes

HVAC equipment RFQ (Request for Quote) management via MCP for Claude Desktop.

Features

  • Submit RFQs to HVAC equipment distributors
  • Check RFQ status and track responses
  • Get and compare quotes from multiple distributors
  • Simulate quotes for testing workflows

Installation

pip install hvac-quotes-mcp

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "hvac-quotes": {
      "command": "hvac-quotes-mcp",
      "env": {
        "HVAC_MOCK_EMAIL": "true"
      }
    }
  }
}

Available Tools

submit_rfq

Submit a Request for Quote to HVAC distributors.

Equipment types: ac_unit, furnace, heat_pump, air_handler, condenser,
                 evaporator_coil, mini_split, thermostat, ductwork, other

check_rfq_status

Check the status of a submitted RFQ.

get_quotes

Get all quotes received for an RFQ.

compare_quotes

Compare quotes from multiple distributors - identifies best price, fastest delivery, and recommended option.

simulate_quote

(Testing) Simulate a quote response from a distributor without waiting for real email responses.

Example Usage

Ask Claude:

"I need a 3-ton AC unit delivered to Naples, FL. Can you get me quotes from distributors?"

Claude will:

  1. Submit RFQs to matching distributors in Florida
  2. Return RFQ IDs for tracking
  3. You can check status later or simulate quotes for testing

Environment Variables

Variable Description Default
HVAC_MOCK_EMAIL Use mock email mode for testing true
SMTP_HOST SMTP server hostname -
SMTP_PORT SMTP server port 587
SMTP_USER SMTP username -
SMTP_PASS SMTP password -
SMTP_FROM From email address -
HVAC_DB_PATH SQLite database path temp directory

How It Works

Unlike instant-response APIs, this MCP models real-world HVAC procurement:

  1. RFQ Submission: Sends email requests to distributors (mocked by default)
  2. Async Response: Distributors respond in 24-48 hours (simulate for testing)
  3. Quote Comparison: Compare received quotes for best value

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured