Last week I showed you your AI coding agent can read your SSH keys. Turns out that was the easy part. I run 5 MCP servers con...

The Setup MCP (Model Context Protocol) lets AI agents call external tools. Instead of just reading files and running bash, the agent gets structured access to APIs, databases, and services. Here's what a typical multi-server config looks like: { "mcpServers" : { "automation" : { "command" : "npx" , "args" : [ "workflow-automation-mcp" ] }, "database-main" : { "command" : "npx" , "args" : [ "database-mcp" ] }, "database-secondary" : { "command" : "npx" , "args" : [ "database-mcp" ] }, "code-graph" : { "command" : "npx" , "args" : [ "code-graph-mcp" ] }, "docs" : { "command" : "npx" , "args" : [ "docs-mcp" ] } } } Five servers. Two database projects. One workflow automation instance running dozens of production workflows. A code graph analyzer. A documentation fetcher. What Made Me Stop and Audit I was debugging a workflow late at night. My agent needed to check why a cron job wasn't firing. So it ran a SQL query against my production database. Then another. Then it modified a workflow n