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Vinkius

Sanity MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

typescript
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();
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* 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.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

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.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Sanity integration everywhere

03

Built-in streaming UI primitives let you display Sanity tool results progressively in React, Svelte, or Vue components

04

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.

01

AI-powered web apps: build dashboards that query Sanity in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Sanity tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Sanity capabilities into conversational interfaces with streaming responses and tool call visibility

04

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:

01

count_entity_nodes

Counts the number of documents of a specific type

02

create_cms_document

Specify the type and provide attributes as a JSON object. Creates a new document in the CMS

03

get_document_details

Retrieves full details for a specific document by ID

04

list_media_assets

Lists all image and file assets uploaded to Sanity

05

list_typed_documents

g., "post", "author"). Lists all documents of a specific type

06

list_unique_schema_types

Retrieves a list of all unique document types present in the dataset

07

patch_cms_document

Provide a JSON object of fields to set. Updates specific fields of an existing document

08

run_groq_query

Executes a GROQ (Graph-Relational Object Queries) query

09

run_raw_mutation

Provide a JSON array of mutation objects. Executes a raw Sanity mutation

10

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.

01

"List all unique schema types in my dataset."

02

"Write a GROQ query to find the 3 most recently updated authors."

03

"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.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Sanity + Vercel AI SDK FAQ

Common questions about integrating Sanity MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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.