How to Use the Hygraph (Headless CMS) MCP in Vercel AI SDK

Stream Hygraph (Headless CMS) content directly into your UI components using the Vercel AI SDK.

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Connect Hygraph (Headless CMS) MCP to Vercel AI SDK

Create your Vinkius account to connect Hygraph (Headless CMS) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Hygraph (Headless CMS) with Vercel AI SDK

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Real-time content fetching with Vercel AI SDK

Stop waiting for loading spinners while your agent pulls data. By using `execute_graphql_query`, your frontend receives content updates the moment the model retrieves them. This keeps your interface snappy. It turns raw database responses into live UI elements without manual state management.

Direct schema introspection for dynamic interfaces

Your agent needs to understand your data structure before it can render it. `list_schema_introspection` allows the SDK to map out your models on the fly. Once the structure is clear, `get_model_fields` provides the granular detail needed to build forms or dynamic displays. You don't hardcode models anymore.

Automated document lifecycle management

Pushing content updates should be a background task, not a manual chore. Your agent handles the full flow from `create_cms_document` to `publish_cms_document` without leaving the chat. It handles the heavy lifting of staging and pushing live. Your users see the result immediately.

Setup guide

Set up Hygraph (Headless CMS) MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Hygraph (Headless CMS) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Hygraph (Headless CMS) transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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Common questions about Hygraph (Headless CMS) MCP in Vercel AI SDK

Install the necessary packages and initialize the client using the HTTP transport. Point your SDK configuration to your Vinkius endpoint token to establish the connection.

Yes. The SDK handles the streaming response directly from the server. Your UI updates as the agent process executes the query.

It is. The transport layer is designed to run in lightweight runtime environments. You won't face issues with traditional server-side overhead.

The agent calls the update tool directly. It passes the necessary JSON payload to modify the draft state.

Vinkius manages your authentication tokens centrally. The server only touches your content nodes and schema definitions through an ephemeral, isolated sandbox.

Use it with your favorite AI tools

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