PipeGears Blog
Technical deep dives, manufacturing integration stories, and the intersection of AI agents and the factory floor.
Why AI Agents Can't Reach Your Factory Floor (And How We Fix That)
AI agents can search the web and summarize documents. They cannot query your ERP, parse your EDI files, or read from your SFTP server. Here is why, and what PipeGears does about it.
Coming soon
MCP for Manufacturing: Connecting Claude to Legacy ERPs
A technical walkthrough of how MCP works, what tools PipeGears exposes, and how to connect Claude to a SQL Server behind a firewall using the Bridge Agent.
Coming soon
EDI in the Age of AI: How MCP Changes B2B Data Exchange
EDI X12 has been the backbone of B2B commerce for decades. Now AI agents need to read, parse, and act on EDI documents. We built the only MCP server that speaks EDI natively.
Coming soon
How an ISV Added AI-Powered Integration in 3 Weeks
A vertical software company serving cabinet manufacturers wanted to offer integration and AI features to their customers. They partnered with PipeGears instead of building from scratch. Here is how it went.
Coming soon
The Bridge Agent: How AI Agents Reach Behind the Firewall
Your database sits on-prem. Your AI agent runs in the cloud. The Bridge Agent creates a secure tunnel between them, with no inbound firewall rules, no VPN changes, and no exposed ports.
Coming soon
MCP Server Comparison: PipeGears vs the Cloud Connector Platforms for Legacy Systems
The MCP ecosystem has 10,000+ servers. Most connect to modern cloud SaaS. We compare what happens when your AI agent needs to reach a SQL Server behind a firewall, parse an EDI 850, or call a SOAP service.
Coming soon
Why Most MCP Servers Are Insecure (And Why PipeGears Isn't)
In the first 60 days after MCP went mainstream, security researchers filed more than 30 CVEs. We break down the OWASP MCP Top 10, explain the root causes, and show how PipeGears' architecture eliminates them.
Coming soon