Sanity CMS

The Sanity CMS MCP server connects your Sanity.io content projects directly to any AI agent through a single hosted MCP endpoint, making structured content management accessible to Claude, GPT, Gemini, and other model-agnostic assistants without custom integration work. Instead of writing bespoke GROQ queries by hand or jumping into the Sanity Studio every time you need to check or update content, teams can expose document queries, mutations, and asset management as callable tools that any agent understands. This is especially useful for editorial teams, marketing operations, and product content workflows that rely on Sanity's structured content model but want AI agents to draft, review, and publish without manual context-switching.

Because BusinessMCP.com unifies your tools, databases, and revenue data into one hosted MCP server plus a business-intelligence dashboard, the Sanity CMS connector doesn't live in isolation. Connect it once through /api/mcp with a Bearer mcph_* key, and the same agent that queries your Sanity dataset via GROQ can also pull ad platform metrics, CRM records, or spreadsheet data in the same conversation — giving content teams a genuinely unified view of how published content performs against business outcomes. This pairing turns Sanity from a headless CMS into part of a broader AI-accessible content and revenue stack, without exposing raw API tokens to every tool an agent touches.

Common workflows include letting an agent draft a new blog post schema, populate fields with GROQ-verified references, upload and tag media assets, then check publish status across environments before a release. Content ops teams use it to audit stale documents, batch-update metadata, or generate content briefs pulled from live Sanity data rather than static exports. Because queries run through the hosted MCP server rather than direct API calls scattered across scripts, GROQ query patterns and mutation logic stay centralized, auditable, and easier to secure — a meaningful advantage for teams juggling multiple Sanity datasets or environments (staging vs. production).

The integration is model-agnostic by design, so switching between Claude, GPT, or Gemini doesn't require re-plumbing your Sanity content pipeline; the MCP server abstracts the connection so agents interact with documents, references, and assets the same way regardless of which model is doing the reasoning. It's also cookieless and GDPR-friendly, which matters for organizations managing editorial content tied to EU audiences or regulated industries where every third-party connection needs a clear data-handling story.

Whether you're building an AI-assisted editorial workflow, automating content QA before deploys, or simply want your agents to answer "what's published where" without logging into Sanity Studio, this MCP server gives you a clean, queryable interface into your content graph. Paired with BusinessMCP's business-intelligence dashboard, you get visibility not just into what content exists, but how it connects to the rest of your hosted tools — all through one endpoint instead of a sprawl of individual API keys and SDKs.