I see companies spending months building complex custom RAG pipelines and proprietary agent frameworks just to automate basic business workflows. If you are building with Claude, you are probably overengineering it. With the Model Context Protocol (MCP), hooking Sonnet up to your actual business systems (like your SQL databases, BI tools, or Jira) takes hours, not sprints. The real business value of Agentic AI isn’t building another chat UI; it’s giving Claude a set of well-defined MCP tools, letting it autonomously query your database when metrics drop, and generating a root-cause analysis before leadership even asks. Stop building fragile wrappers. Give Claude the right tools and let the model handle the routing. Are you guys still building standalone RAG apps, or have you fully moved to MCP-driven workflows for production? submitted by /u/netcommah
Originally posted by u/netcommah on r/ClaudeCode