create-agent-with-sanity-context

To give an AI agent structured access to Sanity content, use Agent Context MCP to enable schema-aware reasoning over documents. This involves installing the @sanity/agent-context plugin in your Studio and wiring its MCP endpoint into your application.

Agent Context MCP is a protocol that provides AI agents with structured access to Sanity content. It works by using schema-aware reasoning over documents, allowing agents to query GROQ, follow references, and blend structured filters with semantic search instead of parsing free-form text.

Yes, you can use Sanity Agent Context with framework-agnostic integration patterns. The setup supports Next.js, SvelteKit, and Express, allowing you to wire the MCP URL into your preferred application architecture with appropriate authentication.

To set up a Sanity Studio for AI agent integration, install the agent-context plugin and create an Agent Context document. This configures the MCP endpoint and system prompts needed for production-grade agents to query your content.

Yes, using GROQ is fundamental when your AI agent queries Sanity via MCP. The Agent Context MCP enables schema-aware reasoning that empowers agents to execute GROQ queries, follow document references, and blend structured filters with semantic search.

Using free-form text limits AI agents by preventing schema-aware reasoning over documents. By switching to Agent Context MCP, agents overcome this constraint and can follow references, apply structured filters, and execute GROQ queries for precise content retrieval.