ContentGroove MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect ContentGroove through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"contentgroove": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ContentGroove Agent",
instructions:
"You help users interact with ContentGroove " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ContentGroove?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and ContentGroove tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the ContentGroove MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from ContentGroove via MCP
Why Use Mastra AI with the ContentGroove MCP Server
Mastra AI provides unique advantages when paired with ContentGroove through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ContentGroove without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every ContentGroove tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
ContentGroove + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ContentGroove MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ContentGroove, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ContentGroove as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ContentGroove on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ContentGroove tools alongside other MCP servers
ContentGroove MCP Tools for Mastra AI (8)
These 8 tools become available when you connect ContentGroove to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting ContentGroove to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpContentGroove + Mastra AI FAQ
Common questions about integrating ContentGroove MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.