ContentGroove MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect ContentGroove 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 ContentGroove, 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 ContentGroove MCP Server
Integrate ContentGroove, an intelligent video processing engine, directly into your conversational workflow. Automate the process of finding the best highlights from massive podcasts. Use conversational text to command your AI to slice, transcribe, and pull highly engaging snippets from long-form videos.
The Vercel AI SDK gives every ContentGroove tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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
- Project Management — Instruct your AI to list tracked video projects to verify rendering status.
- Automated Video Splicing — Request the bot to target a large video, locate engaging discussions, and divide them into independent bite-sized clips natively.
- Metadata Extraction — Extract logically synced auto-transcribed subtitles alongside newly generated assets directly into your chat workspace.
The ContentGroove MCP Server exposes 8 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 ContentGroove to Vercel AI SDK via MCP
Follow these steps to integrate the ContentGroove 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 8 tools from ContentGroove and passes them to the LLM
Why Use Vercel AI SDK with the ContentGroove MCP Server
Vercel AI SDK provides unique advantages when paired with ContentGroove 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 ContentGroove integration everywhere
Built-in streaming UI primitives let you display ContentGroove 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
ContentGroove + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ContentGroove MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ContentGroove in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ContentGroove tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ContentGroove capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ContentGroove through natural language queries
ContentGroove MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect ContentGroove to Vercel AI SDK via MCP:
create_direct_upload
Generate a signed URL for direct video upload
create_media_from_url
Import a video from a URL to generate AI highlights
get_clip_details
Get details of a specific highlight clip
get_media_clips
List all clips for a specific video
get_media_details
Get details of a specific media project
get_media_status
Check processing status of a media
list_all_clips
List all AI-generated clips
list_media
List all media projects in ContentGroove
Example Prompts for ContentGroove in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ContentGroove immediately.
"Extract the 5 most engaging viral slices from project 'vid9x3a' for a social media campaign."
"Check the status of my latest video project render queue."
"List all recent AI-generated clips across my account."
Troubleshooting ContentGroove MCP Server with Vercel AI SDK
Common issues when connecting ContentGroove to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpContentGroove + Vercel AI SDK FAQ
Common questions about integrating ContentGroove 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 ContentGroove 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 ContentGroove to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.