MCP for Manufacturing: Connect Production, Inventory, and Cost Data to AI¶

The Monday production meeting needs six numbers, and they come from six places. Orders from the sales system, capacity from the shop floor, stock from the warehouse, supplier lead times from purchasing, quality from the inspection log, and cost from accounting. Assembling that view is a job in itself. The Model Context Protocol (MCP) lets ChatGPT, Claude, and Perplexity answer across those systems in plain English, read-only, with each figure traceable to its source.

What the production meeting actually asks¶

Are we going to hit the promised dates this month, and where is the risk?
Which work centres are the constraint right now?
Do we have the material for the orders already sold?
Which suppliers are putting the schedule at risk?
What did we actually spend against the standard cost?

Every one of those is a cross-system join. MCP makes it one question instead of six exports.

Orders, capacity, and schedule risk¶

Connect the sales and order systems to the operational data:

"Which orders are at risk of missing their promised ship date, and what is the blocking step for each?"
"What is our load versus capacity by work centre for the next four weeks?"
"Which products have the longest queue time between order and first operation?"
"How has on-time delivery trended by month and by product family?"

Inventory, bill of materials, and material availability¶

"For each open work order, do we hold all the components, and what is missing?"
"Which components are below their reorder point at current consumption?"
"What is the value of work in progress by product line?"
"Which finished goods are overstocked relative to the last twelve months of demand?"

Supplier and lead time risk¶

"What is average lead time by supplier over the last six months, and which suppliers are trending worse?"
"Which open purchase orders are past their expected receipt date?"
"Which components depend on a single supplier, and what is the exposure?"

Quality and returns¶

"What is our defect rate by product line this quarter, and which lines are worsening?"
"What are the most common failure reasons, and which suppliers do they trace back to?"
"How do warranty claims compare with production volume by month?"
"Which batches of a component correlate with the highest return rate?"

The supplier-to-defect question is the one that changes purchasing decisions, and it is only answerable when quality data and supplier data sit in the same answer.

Cost and margin¶

"What is the actual cost per unit by product, and how does it compare with standard cost?"
"Which products have lost margin this quarter, and what drove it: material, labour, or freight?"
"What did we spend on overtime by work centre this month?"
"What is the true landed cost of a component once freight and duties are included?"

How CorpusIQ fits¶

CorpusIQ is the connector layer between the systems you already run and the AI assistant your team already uses. Retrieval is read-only and cited, and nobody at CorpusIQ can access your accounts.

ERP. Connect Odoo for products, inventory, sale orders, purchase data, and projects in one place.
Production and quality systems. Where a manufacturing execution, quality, or warehouse system exposes a supported database, reach it read-only through the database bridge: PostgreSQL, Microsoft SQL Server, MySQL, MongoDB, or Azure Cosmos DB.
Finance. Connect QuickBooks for cost of goods, invoices, and vendor spend.
Registers and plans. Connect Airtable, Google Sheets, or Excel-based plans held in OneDrive for schedules and inspection logs.
Documents. Connect Google Drive or OneDrive for drawings, specifications, and supplier terms.
Commerce. Connect Shopify, Amazon Seller Central, or eBay where you sell direct or through marketplaces.

Frequently Asked Questions¶

Can the AI release a work order or post a transaction?

No. The retrieval tools documented here are marked read-only. The assistant reads and cites your systems but cannot create, change, or post anything in them. Execution stays in the systems that own it.

Our ERP has no connector. Do we need one built?

Not necessarily. If the ERP exposes a supported database, the database bridge queries it read-only with SQL. Where there is an API and no connector, CorpusIQ builds custom connectors as a scoped project.

Can we connect shop-floor data?

If the shop-floor or MES system writes to a supported database or exposes an API, yes. Many manufacturers start with the ERP and finance connections, which cover most of the meeting questions, and add shop-floor data later.

How current is the picture?

Answers come from the live API at the time you ask. There is no overnight batch and no ETL lag, so a goods receipt posted this morning is visible on the next question.

What is the first question to ask?

Schedule risk for the current month: which orders will miss their promise and what is blocking each. It is the question the meeting already asks, and it proves the connection immediately.

Internal Links¶

Part of the MCP knowledge base at corpusiq.io - connect 40+ business tools to AI.

This Hermes repo is one of the largest structured collections of public AI, automation, business, and technology documentation. Content remains attributed to original authors and repositories. Indexed and organized by www.CorpusIQ.io.