Sanity MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Sanity through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Sanity, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Sanity MCP Server
Connect your Sanity project to any AI agent and take full control of your Content Lake through natural conversation.
The Vercel AI SDK gives every Sanity tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- GROQ Queries — Execute powerful Graph-Relational Object Queries to fetch exactly the content you need
- Document Management — Create, read, update, patch, and delete documents of any schema type
- Schema Insights — List unique schema types and count entity nodes dynamically
- Media Assets — Browse and manage images and file assets uploaded to your project
- Bulk Operations — Run raw Sanity mutations for complex, multi-document transactions
The Sanity MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Sanity to Vercel AI SDK via MCP
Follow these steps to integrate the Sanity MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Sanity and passes them to the LLM
Why Use Vercel AI SDK with the Sanity MCP Server
Vercel AI SDK provides unique advantages when paired with Sanity through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Sanity integration everywhere
Built-in streaming UI primitives let you display Sanity tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Sanity + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Sanity MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Sanity in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Sanity tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Sanity capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Sanity through natural language queries
Sanity MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Sanity to Vercel AI SDK via MCP:
count_entity_nodes
Counts the number of documents of a specific type
create_cms_document
Specify the type and provide attributes as a JSON object. Creates a new document in the CMS
get_document_details
Retrieves full details for a specific document by ID
list_media_assets
Lists all image and file assets uploaded to Sanity
list_typed_documents
g., "post", "author"). Lists all documents of a specific type
list_unique_schema_types
Retrieves a list of all unique document types present in the dataset
patch_cms_document
Provide a JSON object of fields to set. Updates specific fields of an existing document
run_groq_query
Executes a GROQ (Graph-Relational Object Queries) query
run_raw_mutation
Provide a JSON array of mutation objects. Executes a raw Sanity mutation
wipe_cms_document
This action is irreversible. Permanently deletes a document from the CMS
Example Prompts for Sanity in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Sanity immediately.
"List all unique schema types in my dataset."
"Write a GROQ query to find the 3 most recently updated authors."
"Update the post with ID 'drafts.1234' and set its published state to true."
Troubleshooting Sanity MCP Server with Vercel AI SDK
Common issues when connecting Sanity to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSanity + Vercel AI SDK FAQ
Common questions about integrating Sanity MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Sanity with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Sanity to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
