Amplience 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 Amplience 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 Amplience, 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 Amplience MCP Server
Link your Amplience headless CMS to any intelligent AI agent to completely rethink how you handle your enterprise content architecture, deploying components natively through standard conversation.
The Vercel AI SDK gives every Amplience 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
- Discover Asset Hierarchies — Freely list top-level Hubs, target specific Repositories, and fetch internal Folders to help your AI inherently understand where every graphic and article lives.
- Content Retrieval — Paginate through dynamic content items, safely extracting complete metadata alongside current active schemas and validation rules.
- Edit & Create Structure — Give the agent full permission to push correctly strictly-typed JSON payloads back into the system, generating or modifying blog entries and product metadata.
- Manage Deployments — Permanently execute deletions (if revision locks permit) or instruct the system to fire a specific content configuration directly over to the edge delivery API to hit the live website.
The Amplience 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 Amplience to Vercel AI SDK via MCP
Follow these steps to integrate the Amplience 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 Amplience and passes them to the LLM
Why Use Vercel AI SDK with the Amplience MCP Server
Vercel AI SDK provides unique advantages when paired with Amplience 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 Amplience integration everywhere
Built-in streaming UI primitives let you display Amplience 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
Amplience + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Amplience MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Amplience in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Amplience tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Amplience capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Amplience through natural language queries
Amplience MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Amplience to Vercel AI SDK via MCP:
create_content_item
Create a new structured content item adhering to a schema inside a folder
delete_content_item
Requires version validation before deletion. Permanently delete a content item from the repository database
get_content_item
Retrieve a specific content item configuration and its schema revision lock
get_delivery_content
Retrieve the exact structural matching verifying Delivery CDN blocks
list_content_items
Retrieve paginated content items from a specific repository
list_folders
List all folders organizing content in a given repository
list_hubs
Essential for retrieving the active workspace. List all accessible Amplience Hubs (environments)
list_repositories
List all content repositories within a specific Hub
publish_content_item
Publish a specific content item version to the live delivery CDN
update_content_item
Update an existing content item data structure matching its current schema
Example Prompts for Amplience in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Amplience immediately.
"Identify all active repositories present inside my default Amplience Hub."
"Pull the structural metadata (schema lock and payload) of item '5tYv92'."
"Publish the newly edited Content '5tYv92' to the global live network."
Troubleshooting Amplience MCP Server with Vercel AI SDK
Common issues when connecting Amplience to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAmplience + Vercel AI SDK FAQ
Common questions about integrating Amplience 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 Amplience 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 Amplience to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.