Open Wonder as an MCP server
Drop Open Wonder into Claude, Cursor, or any Model Context Protocol-aware runtime. Tools like generate.image, check.brand, and fetch.asset become available to the agent — with brand context attached automatically.
Open Wonder for agents.
Make your brand callable. Open Wonder plugs into agentic stacks as a set of brand-aware tools — for image generation, brand guard, and content operations. Wherever your agents run, your brand runs with them. Currently in private beta.
Integration modes
MCP-first. Agent-native. REST-friendly.
Brand-aware skills for agentic frameworks
Your agents don’t learn your brand — they call it. Compatible with Claude & OpenAI Agents and custom orchestration stacks. Each call resolves through the brand layer before output.
Classic REST for content pipelines
For CMS, PIM, and DAM integrations where an agent isn’t in the loop — yet. Same brand layer, called over plain HTTP, with webhooks for downstream systems.
Your agent calls Open Wonder. Open Wonder protects the brand. The output is shippable.
Built for the agent stack
Works with Claude · Cursor · OpenAI Agents · LangGraph · n8n · Make · Zapier · custom MCP clients.
Open Wonder speaks the protocols your stack already uses. New runtimes are added as the ecosystem moves.
A focused set of tools — image generation, brand checks, asset retrieval, style description. Full schema available under NDA during the private beta.
Privacy by Design
Agent traffic is RLS-isolated and GDPR-compliant. Your brand context never leaks into other tenants.
Foundation-Model Agnostic
No lock-in. Tools route to the best model per call — yours or ours, configurable per workspace.
EU-first Infrastructure
Frankfurt-hosted, DPA in place, same-region backups. Agent calls stay inside European jurisdiction.
Multi-Tenant Architecture
Zero-downtime, brand-isolated, built for agencies and large enterprises with many brand contexts.
Want to plug Open Wonder into your agent stack?
Tell us about your runtime and use case. We onboard partners individually during private beta.