I Connected 3 MCP Servers to One Agent. It Got Scary Fast.
6.9 relevance
Score Breakdown
technical depth 6
novelty 8
actionability 7
community 5
strategic 6
personal 10
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MCP server orchestration with agents directly matches AI agent orchestration interest.
Summary
Connecting three MCP servers to a single AI agent exposed critical governance gaps: no policy enforcement, approval chains, or audit trails between read-only and production-deploy tools. Building a control plane for MCP required collapsing three planned release phases into one, with FastAPI, PostgreSQL, Redis, and OPA as the backend stack. The hardest parts were mapping customer user journeys, building a full admin UI with 68 Playwright E2E tests, and fixing 170 mypy type errors that revealed unclear design decisions.