Prismic 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 Prismic through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Prismic, 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 Prismic MCP Server
Connect your Prismic headless CMS to any AI agent and integrate content querying directly into your conversation workflow.
The Vercel AI SDK gives every Prismic 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
- Search Documents — Perform advanced searches using Prismic predicates, filter by tags, locales, and custom types
- Retrieve Content — Fetch full document data by their unique IDs to immediately get component architecture and copy
- Explore Schema — List all available custom types, tags, and languages defined in your repository
- Analyze Structure — Retrieve repository metadata including master refs and view specific query form schemas
The Prismic 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 Prismic to Vercel AI SDK via MCP
Follow these steps to integrate the Prismic 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 Prismic and passes them to the LLM
Why Use Vercel AI SDK with the Prismic MCP Server
Vercel AI SDK provides unique advantages when paired with Prismic 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 Prismic integration everywhere
Built-in streaming UI primitives let you display Prismic 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
Prismic + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Prismic MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Prismic in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Prismic tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Prismic capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Prismic through natural language queries
Prismic MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Prismic to Vercel AI SDK via MCP:
get_document_by_id
g., from a search result or relationship field) and need to retrieve its full content. Fetches a specific Prismic document by its unique ID
get_query_form_schema
Retrieves the schema for a specific query form (e.g., "everything")
get_repo_metadata
Retrieves metadata about the Prismic repository, including master refs, types, and languages
list_custom_types
Lists all Custom Types defined in the Prismic repository
list_documents_by_tag
Lists all Prismic documents that have a specific tag
list_documents_by_type
Lists all Prismic documents of a specific Custom Type
list_global_tags
Lists all tags used across the Prismic repository
list_i18n_languages
Lists the languages (locales) configured in the repository
query_prismic_documents
This is the most powerful tool for finding content. It supports pagination and locale filtering internally. Queries the Prismic API for documents using raw Predicates
search_filtered_locale
g., "en-us" or "fr-fr"). Performs a filtered search for documents within a specific locale
Example Prompts for Prismic in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Prismic immediately.
"List all custom types available in my Prismic repository."
"Can you fetch the document JSON for the ID 'ZbHwWxEAACUAx9'?"
"Search for all documents tagged with 'seo' and 'landing'."
Troubleshooting Prismic MCP Server with Vercel AI SDK
Common issues when connecting Prismic to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPrismic + Vercel AI SDK FAQ
Common questions about integrating Prismic 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 Prismic 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 Prismic to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.