Contentful MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Contentful 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 Contentful, 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 Contentful MCP Server
Integrate the Contentful content management platform directly into your conversational AI. Automate your editorial workflow and manage entries across spaces and environments without modifying code.
The Vercel AI SDK gives every Contentful tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Content Retrieval — Retrieve and display existing content entries, assets, and content models efficiently.
- Entry Creation — Command the AI to format and draft text content, creating new Contentful entries natively.
- Space Discovery — Ask the agent to find specific content types or query the environment architecture intuitively.
The Contentful MCP Server exposes 12 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 Contentful to Vercel AI SDK via MCP
Follow these steps to integrate the Contentful 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 12 tools from Contentful and passes them to the LLM
Why Use Vercel AI SDK with the Contentful MCP Server
Vercel AI SDK provides unique advantages when paired with Contentful 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 Contentful integration everywhere
Built-in streaming UI primitives let you display Contentful 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
Contentful + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Contentful MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Contentful in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Contentful tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Contentful capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Contentful through natural language queries
Contentful MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Contentful to Vercel AI SDK via MCP:
create_entry
Create a new entry in draft state
get_content_type
Get details of a specific content type
get_entry
Get details of a specific entry
list_assets
List all assets in the current environment
list_content_types
List all content types in the current environment
list_entries
List entries in the current environment
list_environments
List environments in the current space
list_organizations
List all Contentful organizations
list_spaces
List all Contentful spaces available
publish_entry
Publish a draft entry
unpublish_entry
Unpublish an entry (return to draft)
update_entry
Update an existing entry
Example Prompts for Contentful in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Contentful immediately.
"Retrieve the details and full content for the article titled 'AI Best Practices' from space ID 'xvz1'."
"Fetch the structure schema of our 'Blog Post' content model."
"List all environments in our current Contentful space."
Troubleshooting Contentful MCP Server with Vercel AI SDK
Common issues when connecting Contentful to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpContentful + Vercel AI SDK FAQ
Common questions about integrating Contentful 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 Contentful 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 Contentful to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.