Every integration is a promise that the other system will keep behaving the same way tomorrow. It won’t.
The integration layer is where AI meets the rest of your stack: CRMs, databases, Slack, email, calendars, and the custom internal tools nobody documented. Get this wrong and your agent runs perfectly — on stale or missing data.
Model Context Protocol (MCP)
MCP is the open standard for connecting AI assistants to data sources and tools — a universal port instead of custom glue code per integration. Pre-built servers exist for Google Drive, Slack, GitHub, Postgres, and more.
Workflow Automation
Visual platforms like n8n wire multi-step AI workflows to hundreds of APIs. The solo implementer’s sweet spot: fast to build, painful when tool failures hide inside agent reasoning.
Critical pattern: When an API tool fails, return structured errors to the agent — don’t let the workflow crash silently or loop forever.
Where Integrations Break
- Tool schema mismatches (agent passes wrong arguments, retries burn tokens)
- OAuth token expiry at 2 AM
- API version changes with no deprecation notice
- Rate limits triggering infinite retry loops
Key Content
- MCP — Protocol for tool connections
- n8n — Workflow automation with AI agents
- Integration Failure — API drops, agent keeps running
- Authentication Failure — Token lifecycle
- Stack & Tools — Platform profiles