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How to Use the Prismic MCP in Vercel AI SDK

Fetch Prismic content directly into your React UI with the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Prismic MCP on Cursor AI Code Editor MCP Client Prismic MCP on Claude Desktop App MCP Integration Prismic MCP on OpenAI Agents SDK MCP Compatible Prismic MCP on Visual Studio Code MCP Extension Client Prismic MCP on GitHub Copilot AI Agent MCP Integration Prismic MCP on Google Gemini AI MCP Integration Prismic MCP on Lovable AI Development MCP Client Prismic MCP on Mistral AI Agents MCP Compatible Prismic MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Prismic MCP to Vercel AI SDK

Create your Vinkius account to connect Prismic to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Dynamic UI Streaming

The `query_prismic_documents` tool streams raw Prismic CMS data straight to your frontend via Vercel AI SDK. Your agent fetches documents based on user prompts and pipes the text directly into React components. Users watch the content render live instead of staring at a loading spinner. When a user clicks a related post, `get_document_by_id` triggers instantly. The SDK handles the transport layer while the tool pulls the exact document payload. This keeps your edge functions fast and your user experience immediate.

Prismic MCP Server Locale Routing

The Prismic MCP Server handles multilingual content routing using the `list_i18n_languages` tool. Your agent reads the available locales from the repository before executing any search. It maps the browser's language header to the exact Prismic locale automatically. Once the language is confirmed, `search_filtered_locale` pulls only the relevant translations. You avoid fetching massive multi-language payloads over the network. The client gets exactly what they need in their native language.

Type-Safe Schema Fetching

The `list_custom_types` tool exposes your entire Prismic content architecture to the AI client. Your agent knows exactly which fields exist on a blog post versus a landing page. It formats its generation requests based on actual repository structures. To build complex dynamic filters, the agent calls `get_query_form_schema`. It reads the exact query parameters your repository accepts. The Vercel AI SDK then streams the resulting structured data into your Next.js application without breaking type safety.

Setup guide

Set up Prismic 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Prismic transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Prismic. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Prismic MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and initialize it with `createMCPClient`. Pass the HTTP transport URL for your Prismic server. Call `mcpClient.tools()` and feed the output into `streamText`.
Yes. Your agent calls `list_documents_by_type` to filter content by its custom type identifier. This restricts the context window to relevant entries like articles or authors.
The server runs entirely over HTTP transport. You can invoke tools like `list_global_tags` from edge environments without heavy Node.js dependencies. Always remember to call `mcpClient.close()` when the execution finishes.
The agent runs `list_documents_by_tag` to group related content. It feeds those document arrays into your streaming UI components. You get instant related-content modules powered by raw API responses.
This connection reads public and draft CMS content, specifically custom type definitions and text fields. Vinkius isolates the execution in a V8 sandbox. The token only grants read access to your specific repository endpoint.

Start using the Prismic MCP today

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