I built a multi-tenant AI agent platform (widget + API + voice + MCP) — looking for feedback from people actually deploying agent

Hey everyone, Just shipped something I’ve been building for the last few weeks and would love feedback from people who actually run agents in production (or try to). What it is Animam is an infrastructure layer for deploying personalized AI agents at scale. One account → N agents (multi-tenant). Same knowledge base / persona / tools, exposed through: Embeddable widget REST API Voice MCP server (per tenant) Main use case I optimized for: agencies and builders who need to spin up a custom agent for each client without rebuilding everything from scratch every time. Why I built it Most tools I tried were either: Single-tenant (great for one chatbot, painful for 10+ clients) Or too complex / too expensive when you start scaling the number of agents I wanted something closer to “infrastructure” than “another chatbot builder”. Hosted in France, GDPR-friendly, Claude-powered (BYOK possible later). What’s live right now Multi-tenant by design (parent account → child agents) Knowledge base that stays consistent across channels WordPress plugin (deploy an agent on a site in a few minutes) No-account try flow so people can test without signing up I’m especially interested in feedback on: The multi-tenant model — does this match how you actually deploy agents for clients? MCP exposure per tenant — useful or overkill right now? Anything that feels missing for production use (observability, guardrails, cost control, etc.) Happy to answer technical questions or take brutal feedback. Building in public, so any input helps. Thanks.