FusionSignage MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 17 tools to Assign Playlist, Check Fusion Status, Create Playlist, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FusionSignage through 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 App Connector for Vercel AI SDK
The FusionSignage app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 17 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 FusionSignage, 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 FusionSignage MCP Server
Connect your FusionSignage account to any AI agent and manage your digital signage network through natural conversation.
The Vercel AI SDK gives every FusionSignage tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 17 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
- Screen Management — List all screens with online/offline status, inspect configurations, update settings, and check real-time connectivity
- Playlist Builder — Create, update, and delete content playlists with media items and display order
- Content Assignment — Assign playlists to specific screens for targeted content delivery
- Media Library — Browse all uploaded media (images, videos, web pages), inspect file metadata, and remove outdated assets
- Content Scheduling — Create time-based schedules with playlist rotation and screen assignments
- Screen Groups — Organize screens into groups for bulk content management
The FusionSignage MCP Server exposes 17 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.
All 17 FusionSignage tools available for Vercel AI SDK
When Vercel AI SDK connects to FusionSignage through Vinkius, your AI agent gets direct access to every tool listed below — spanning digital-signage, screen-management, content-scheduling, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Assign playlist to screen
Verify connectivity
Create a playlist
Create a schedule
Delete media
Delete a playlist
Get media details
Get playlist details
Get screen details
Get screen status
List screen groups
List all media
List all playlists
List schedules
List all screens
Update a playlist
Update a screen
Connect FusionSignage to Vercel AI SDK via MCP
Follow these steps to wire FusionSignage into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the FusionSignage MCP Server
Vercel AI SDK provides unique advantages when paired with FusionSignage 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 FusionSignage integration everywhere
Built-in streaming UI primitives let you display FusionSignage 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
FusionSignage + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FusionSignage MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FusionSignage in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FusionSignage tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FusionSignage capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FusionSignage through natural language queries
Example Prompts for FusionSignage in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FusionSignage immediately.
"Show all screens and highlight any that are offline."
"Create a new promotional playlist with our latest media and assign it to all lobby screens."
"Show all content schedules and the screen groups configured in our account."
Troubleshooting FusionSignage MCP Server with Vercel AI SDK
Common issues when connecting FusionSignage to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFusionSignage + Vercel AI SDK FAQ
Common questions about integrating FusionSignage 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.