The Model Context Protocol is the open standard for giving AI agents structured access to tools and data. We run public MCP servers on our own properties — this site included — and build them for clients as part of agent-readiness work: search, content, and domain actions exposed to any MCP-capable agent, with authentication only where it belongs.
Visit Model Context Protocol (MCP) →
How We Use It
- Public read-only MCP servers that make site content agent-consumable
- Authenticated MCP tools over product APIs for customer workflows
- Agent-readiness audits: discovery manifests, server cards, tool design
AI / LLM
Why this matters: Controversial, misunderstood, and overhyped though they may be, AI and LLMs are transforming industries and society. Used carefully and responsibly, they are still a valuable tool for innovation and progress. We design and deploy LLM-powered features with a focus on safety, performance, and maintainability, leveraging managed model providers and an SDK-first approach for rapid iteration. Preferred defaults: Vercel AI SDK + AI Gateway for multi-model orchestration; Anthropic and OpenAI as primary model providers.