Umbraco 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 Umbraco through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Umbraco, 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 Umbraco MCP Server
Connect your Umbraco CMS backend to any AI agent and take full autonomous control bridging the powerful Delivery and Management APIs purely through natural conversation.
The Vercel AI SDK gives every Umbraco tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Delivery API Traversing — Instantly list public pages, query by content type, or securely fetch structured fields by their exact domain paths organically
- Backoffice Document Control — Push new document permutations natively adhering to your configured schemas without opening a single GUI panel
- Site Mutations — Command the targeted removal of any outdated published nodes or force updates to internal fields seamlessly via
update_cms_document - Schema & Media Insight — Grab absolute lists tracking your stored binary media files alongside the global Document Types blueprints mapped out natively
The Umbraco 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 Umbraco to Vercel AI SDK via MCP
Follow these steps to integrate the Umbraco 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 Umbraco and passes them to the LLM
Why Use Vercel AI SDK with the Umbraco MCP Server
Vercel AI SDK provides unique advantages when paired with Umbraco 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 Umbraco integration everywhere
Built-in streaming UI primitives let you display Umbraco 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
Umbraco + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Umbraco MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Umbraco in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Umbraco tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Umbraco capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Umbraco through natural language queries
Umbraco MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Umbraco to Vercel AI SDK via MCP:
create_cms_document
Provide the document data as a JSON object adhering to the schema. Creates a new document in the Umbraco CMS
delete_cms_document
This action is irreversible. Permanently deletes a document from the Umbraco CMS
get_delivery_content_by_id
Retrieves a specific content item by its GUID or numeric ID via Delivery API
get_delivery_content_by_path
g., "/home/about"). Retrieves a specific content item by its URL path
get_management_document
Retrieves a specific document via the Umbraco Management API (Drafts/Backoffice)
list_delivery_content
Supports pagination via take and skip. Lists content available via the Umbraco Delivery API
list_document_types
Lists all document types (schemas) defined in Umbraco
list_media_assets
Lists media assets (images, files) from the Umbraco Media library
query_delivery_content
g., "contentType:blogPost"). Filters content items using the Umbraco Delivery API query syntax
update_cms_document
Provide the document ID and JSON updates. Updates fields of an existing document in Umbraco
Example Prompts for Umbraco in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Umbraco immediately.
"Use the delivery API to get the content from '/products/new-feature' and list out its properties."
"Look up our Document Types to see the exact schema required for a 'BlogPost'. Then create one JSON draft placeholder payload based on it."
"Delete the backoffice document holding ID d6ef43..."
Troubleshooting Umbraco MCP Server with Vercel AI SDK
Common issues when connecting Umbraco to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUmbraco + Vercel AI SDK FAQ
Common questions about integrating Umbraco 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 Umbraco 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 Umbraco to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.