Elemeno 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 Elemeno 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 Elemeno, 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 Elemeno MCP Server
Integrate Elemeno, the headless CMS designed for developers, directly into your AI workflow. Manage your content collections and singletons (global pages), track individual items and their publishing statuses, monitor field schemas, and oversee your entire content library using natural language.
The Vercel AI SDK gives every Elemeno 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
- Collection Oversight — List and retrieve detailed information and field schemas for all your content collections.
- Content Intelligence — Monitor individual collection items, resolving titles, slugs, and real-time publishing statuses.
- Singleton Management — Access and monitor singleton content blocks, resolving global settings and unique page data.
- Content Auditing — Retrieve high-level summaries of collection activity, item counts, and organizational CMS health.
The Elemeno 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 Elemeno to Vercel AI SDK via MCP
Follow these steps to integrate the Elemeno 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 Elemeno and passes them to the LLM
Why Use Vercel AI SDK with the Elemeno MCP Server
Vercel AI SDK provides unique advantages when paired with Elemeno 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 Elemeno integration everywhere
Built-in streaming UI primitives let you display Elemeno 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
Elemeno + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Elemeno MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Elemeno in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Elemeno tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Elemeno capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Elemeno through natural language queries
Elemeno MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Elemeno to Vercel AI SDK via MCP:
get_collection_details
Get detailed settings and field schema for a specific collection
get_collection_item_details
Get full content and metadata for a specific item in a collection
get_elemeno_account_metadata
Retrieve metadata and limits for your Elemeno account
get_singleton_content
Get the full content data for a specific singleton
list_collection_items
List all content items within a specific collection
list_content_collections
List all content collections configured in your Elemeno account
list_content_singletons
List all singleton content blocks (unique global pages/settings)
list_published_content
Identify items that are currently in a "Published" status
quick_content_volume_audit
Retrieve a high-level summary of collection and singleton activity
search_collection_content
Search for items within a collection using a title or slug keyword
Example Prompts for Elemeno in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Elemeno immediately.
"List all content collections in my project."
"Show me the items in the 'Services' collection."
"What is the content of the 'Contact Page' singleton?"
Troubleshooting Elemeno MCP Server with Vercel AI SDK
Common issues when connecting Elemeno to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpElemeno + Vercel AI SDK FAQ
Common questions about integrating Elemeno 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 Elemeno 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 Elemeno to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.