Agility CMS 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 Agility CMS 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 Agility CMS, 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 Agility CMS MCP Server
Connect your Agility CMS instance to your AI agent and turn it into the ultimate Headless CMS assistant. Skip manual API queries and interact directly with your content architecture using natural language.
The Vercel AI SDK gives every Agility CMS 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
- Sitemap & Routing — Retrieve nested sitemap trees or flat router architectures to understand how your channels are structured
- Content Lists — Search, list, and count items across specific CMS references like articles, authors, or products
- Page Layouts — Fetch exact page modules, UI components mapping, and structural layout definitions using Page IDs
- Content Operations — Read full content payloads for individual items and synchronize granular CMS updates over time
- Media Galleries — Fetch specific media asset groups and tracking galleries for imagery
The Agility CMS 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 Agility CMS to Vercel AI SDK via MCP
Follow these steps to integrate the Agility CMS 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 Agility CMS and passes them to the LLM
Why Use Vercel AI SDK with the Agility CMS MCP Server
Vercel AI SDK provides unique advantages when paired with Agility CMS 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 Agility CMS integration everywhere
Built-in streaming UI primitives let you display Agility CMS 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
Agility CMS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Agility CMS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Agility CMS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Agility CMS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Agility CMS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Agility CMS through natural language queries
Agility CMS MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Agility CMS to Vercel AI SDK via MCP:
count_reference_items
Get the total size/count of items in a specific Reference List
get_media_gallery
Retrieve a specific media gallery mapping containing photos
get_page_layout
Retrieve the layout and structural modules of a single Page
get_single_item
g., an article body) knowing its numeric content ID. Retrieve a single Agility CMS content item by its ID
get_site_flat_router
Retrieve the exact flat list of all CMS routes/pages
get_site_tree
Requires the target channel name. Retrieve the nested sitemap architecture of a digital channel
list_content_items
g. blog posts, articles, authors). The items are retrieved from the Headless CMS environment. List content items from an Agility CMS Reference list
search_content_reference
Search for specific keywords inside a Content Reference List
sync_incremental_items
Start with 0 for full backup. Get incrementally updated items since the last sync token
sync_incremental_pages
Start with 0 for a full fetch. Get incrementally updated pages since the last sync token
Example Prompts for Agility CMS in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Agility CMS immediately.
"Get the flat sitemap for our website to see all registered routes."
"Search the 'blog_posts' reference list for the keyword 'announcement'."
"Retrieve the full page layout and modules for page ID 12."
Troubleshooting Agility CMS MCP Server with Vercel AI SDK
Common issues when connecting Agility CMS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAgility CMS + Vercel AI SDK FAQ
Common questions about integrating Agility CMS 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 Agility CMS 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 Agility CMS to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.