MCP Bridge: turning legacy systems into tools an AI agent can use
The question that separates an AI demo from an agent in production is simple: does it reach the systems where the work actually happens? An assistant that only chats is a toy. An agent that reads the order in the ERP, checks stock in the database and replies in the customer's channel is operations. The problem is that those systems were almost never built for an AI to talk to them. That's where th
The question that separates an AI demo from an agent in production is simple: does it reach the systems where the work actually happens? An assistant that only chats is a toy. An agent that reads the order in the ERP, checks stock in the database and replies in the customer's channel is operations. The problem is that those systems were almost never built for an AI to talk to them. That's where the Model Context Protocol (MCP) comes in — and the way Zihin puts it into production with the MCP Bri.
Fuente: Dev.to
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