EX.CO Video Experience 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 EX.CO Video Experience 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 EX.CO Video Experience, 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 EX.CO Video Experience MCP Server
Integrate EX.CO, the leading video experience platform, directly into your AI workflow. Manage your video library and interactive content (quizzes, polls), track real-time performance analytics and engagement metrics, monitor distribution channels and playlists, and oversee your entire video strategy using natural language.
The Vercel AI SDK gives every EX.CO Video Experience 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
- Video Oversight — List and retrieve detailed information, durations, and metadata for all your hosted videos.
- Interactive Content Intelligence — Monitor quizzes, polls, and other interactive items, resolving configuration details and performance data.
- Performance Management — Access real-time video analytics, resolving total views, completions, and interaction rates via chat.
- Content Auditing — Retrieve high-level summaries of video volume, channel activity, and organizational content health instantly.
The EX.CO Video Experience 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 EX.CO Video Experience to Vercel AI SDK via MCP
Follow these steps to integrate the EX.CO Video Experience 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 EX.CO Video Experience and passes them to the LLM
Why Use Vercel AI SDK with the EX.CO Video Experience MCP Server
Vercel AI SDK provides unique advantages when paired with EX.CO Video Experience 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 EX.CO Video Experience integration everywhere
Built-in streaming UI primitives let you display EX.CO Video Experience 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
EX.CO Video Experience + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the EX.CO Video Experience MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query EX.CO Video Experience in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate EX.CO Video Experience tools and return structured JSON responses to any frontend
Chatbots with tool use: embed EX.CO Video Experience capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with EX.CO Video Experience through natural language queries
EX.CO Video Experience MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect EX.CO Video Experience to Vercel AI SDK via MCP:
get_content_detailed_intelligence
Get detailed settings and performance data for a specific content item
get_ex_co_account_metadata
Retrieve metadata and limits for your EX.CO account
get_video_analytics_summary
Get a high-level summary of video performance and engagement
get_video_detailed_data
Get detailed settings and metadata for a specific video
list_interactive_content
List all interactive content items (quizzes, polls, etc.) in your account
list_successfully_published_videos
Identify videos that are currently in a "Published" status
list_video_distribution_channels
List all video channels configured in your organization
list_video_library
CO API. List all videos in your EX.CO library
list_video_playlists
List all video playlists created in your account
quick_video_performance_audit
Retrieve a high-level summary of videos and analytics
Example Prompts for EX.CO Video Experience in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with EX.CO Video Experience immediately.
"List all videos in my library."
"Show me analytics summary for this week."
"Search for interactive content matching 'Quiz'."
Troubleshooting EX.CO Video Experience MCP Server with Vercel AI SDK
Common issues when connecting EX.CO Video Experience to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEX.CO Video Experience + Vercel AI SDK FAQ
Common questions about integrating EX.CO Video Experience 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 EX.CO Video Experience 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 EX.CO Video Experience to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.