Model Context Protocol (MCP)
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.