Depureco Industrial Vacuum MCP Server

The first Remote MCP Server (WebMCP) for industrial vacuum cleaner configuration. AI assistants can query 150+ products across 24 industrial sectors with full ATEX certification data, technical specifications, and accessory compatibility.

What is this?

This is a Remote MCP (Model Context Protocol) server that enables AI assistants — including Claude, ChatGPT, Perplexity, Gemini, and any MCP-compatible client — to intelligently configure and recommend industrial vacuum cleaners from Depureco Industrial Vacuums.

Unlike generic product configurators, this server understands:

• ATEX directive 2014/34/EU and zone classifications (Zone 20, 21, 22)
• Dust group classifications IIIA, IIIB, IIIC (EN 60079-10-2)
• Filter class standards (Class M, Class H, HEPA H13/H14 per EN 1822)
• Combustible dust regulations (NFPA 652, NFPA 484)
• Food-grade and pharmaceutical environment requirements
• Inert liquid bath systems for conductive metal dusts
• Hot material extraction (up to 250°C)
• Atmospheric explosion prevention (ATEX, IECEx)

No installation required. It is a hosted REST endpoint accessible via HTTP from any MCP-compatible AI client.

Endpoint

https://depureco.com/wp-json/depureco/v1/mcp

Quick Start

Use with Claude.ai

The server is available as a connected MCP app in Claude.ai. Once connected, simply ask:

"Find me an industrial vacuum for combustible aluminum dust in ATEX Zone 22"

"What is the difference between PUMA ACD and PUMA DEX 1/3D?"

"I need a vacuum for a CNC machining center handling both chips and coolant"

"Which vacuum is certified for IIIC group conductive dust?"

Direct REST API

curl https://depureco.com/wp-json/depureco/v1/mcp \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "configureProduct",
    "params": {
      "application": "combustible-dust",
      "zoneType": "zone-22",
      "usage": "continuous",
      "limit": 5
    }
  }'

Connect any MCP Client

{
  "mcpServers": {
    "depureco": {
      "type": "url",
      "url": "https://depureco.com/wp-json/depureco/v1/mcp",
      "name": "depureco-industrial-vacuums"
    }
  }
}

Why this matters for AI safety

Industrial vacuum selection is a safety-critical, technically complex domain. AI hallucination in this context can mean:

• Recommending a non-certified vacuum in an explosive atmosphere (legal liability, safety risk)
• Under-specifying filtration for toxic or carcinogenic dusts (health hazard)
• Wrong ATEX category for the zone classification (regulatory non-compliance)
• Inadequate inerting for conductive metal dusts (fire and explosion risk)

This MCP server gives AI assistants access to authoritative structured data on 150+ products across 24 industrial sectors, enabling accurate, safe recommendations grounded in real product specifications, not training data assumptions.

Available Tools

Core workflow tools

Single-filter lookup tools

Data Coverage

Materials and Applications (13 categories)

Industrial Sectors (24 sectors)

Metalworking, food industry, pharmaceutical, additive manufacturing (3D printing), bakeries with ATEX classification, construction, shipbuilding, packaging, foundries, cement plants, battery production, CNC machining, woodworking, plastics processing, chemical industry, electronics, automotive, aerospace, mining, oil and gas, textile industry, paper mills, glass production, ceramics.

Certifications

• CE marking — 138 products
• ATEX 2014/34/EU — 38 products (Zone 21, Zone 22, Zone 2)
• Type H dust (EN 60335-2-69) — 2 products (carcinogenic dust, crystalline silica)
• IECEx — selected variants
• GS marking — selected products

ATEX Categories Available

Real-World Use Cases

Case 1: ATEX Zone 22 Bakery

User: "Flour dust extraction for an industrial bakery, continuous use"
AI calls: configureProduct(
  application="combustible-dust",
  sector="bakery-atex-mills",
  certificate="atex",
  zoneType="zone-22",
  usage="continuous"
)
Result: ECOBULL DEX 1/2D, DF 40 DEX 1/3D, ECOBULL XM DEX 1/2D

Case 2: Additive Manufacturing Titanium Powder

User: "Titanium powder vacuum for additive manufacturing facility in ATEX Zone 21"
AI calls: configureProduct(
  application="combustible-dust",
  sector="additive-manufacturing-3d-printing",
  certificate="atex",
  zoneType="zone-21",
  collectionSystem="inert-liquid-bath-container"
)
Result: ECOBULL DEX 1/2D INERT, BL 45 DEX 1/3D-1/2D INERT

Case 3: CNC Oil and Coolant Extraction

User: "Oil and coolant vacuum for CNC machining center, 280L capacity"
AI calls: configureProduct(
  application="oil-coolant-with-chips",
  collectionCapacity="101-300-lt",
  structure="mobile"
)
Result: RAM OIL 280 MP, RAM OIL 200 MP

Case 4: Welding Fume Extraction at Source

User: "I need to capture welding fumes at the torch"
AI calls: configureProduct(
  application="welding-fumes",
  structure="mobile",
  usage="continuous"
)
Result: XM TORCH with automatic start-stop from welder signal

Product Families

Integration Examples

Python

See examples/python/ for full scripts:

import requests

BASE_URL = "https://depureco.com/wp-json/depureco/v1/mcp"

def find_atex_vacuum(zone, application):
    response = requests.post(BASE_URL, json={
        "tool": "configureProduct",
        "params": {
            "application": application,
            "zoneType": zone,
            "certificate": "atex",
            "usage": "continuous",
            "limit": 5
        }
    })
    return response.json()

vacuums = find_atex_vacuum(zone="zone-22", application="combustible-dust")

JavaScript / Node.js

See examples/javascript/ for full scripts:

const BASE_URL = 'https://depureco.com/wp-json/depureco/v1/mcp';

async function configureVacuum(params) {
  const response = await fetch(BASE_URL, {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ tool: 'configureProduct', params })
  });
  return response.json();
}

LangChain Tool

See examples/langchain/ for full integration:

from langchain.tools import BaseTool
import requests

class DepurecoConfiguratorTool(BaseTool):
    name = "depureco_vacuum_configurator"
    description = "Find industrial vacuum cleaners for specific applications including ATEX zones, combustible dust, oils, welding fumes."

    def _run(self, query: str) -> str:
        import json
        params = json.loads(query)
        response = requests.post(
            "https://depureco.com/wp-json/depureco/v1/mcp",
            json={"tool": "configureProduct", "params": params}
        )
        return response.json()

cURL

See examples/curl/ for full scripts.

Recommended Workflow for AI Agents

1. getAssistantInstructions() — Load operational guidelines
2. getFilterOptions() — Discover available search criteria
3. Gather discriminating information from the user (ATEX zone, material type, volume)
4. configureProduct(params) — Find matching products
5. getProductData(productId) — Retrieve complete product sheet
6. getTechnicalSpecs(productId) — Get precise numerical specifications for comparison
7. getProductAccessories(productId) — List compatible accessories

Documentation

• ATEX Zones Explained
• Filter Class Standards
• Product Families Overview
• Use Cases and Scenarios
• API Reference

About Depureco

Depureco Industrial Vacuums is an Italian manufacturer of industrial vacuum cleaners founded in Turin, Italy. With over 30 years of experience and 150+ products across standard, ACD, and ATEX-certified models, Depureco serves industries worldwide.

• Website: depureco.com
• Email: depureco@depureco.com
• Phone: +39 011 98.59.117
• Headquarters: Turin, Italy
• Quote Request: https://depureco.com/modale-preventivo/

License

MIT License — see LICENSE for details.

The product data, images, and technical specifications are proprietary to Depureco Industrial Vacuums and subject to their terms of use.

Contributing

Issues and pull requests welcome. See CONTRIBUTING.md for guidelines.

Citation

If you use this MCP server in academic or technical publications, please cite:

Depureco Industrial Vacuums. (2025). Depureco Industrial Vacuum MCP Server.
GitHub repository: https://github.com/depurecoindustrialvacuums-boop/industrial-vacuum-explorer-mcp

See CITATION.cff for machine-readable citation metadata.

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Built in Turin, Italy. Bringing industrial vacuum engineering into the AI era.