ContentGroove MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ContentGroove through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ContentGroove Assistant",
instructions=(
"You help users interact with ContentGroove. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ContentGroove"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 8 tools from ContentGroove through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ContentGroove, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the ContentGroove MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 tools from ContentGroove
Why Use OpenAI Agents SDK with the ContentGroove MCP Server
OpenAI Agents SDK provides unique advantages when paired with ContentGroove through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ContentGroove + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ContentGroove MCP Server delivers measurable value.
Automated workflows: build agents that query ContentGroove, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ContentGroove, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ContentGroove tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ContentGroove to resolve tickets, look up records, and update statuses without human intervention
ContentGroove MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect ContentGroove to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting ContentGroove to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ContentGroove + OpenAI Agents SDK FAQ
Common questions about integrating ContentGroove MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.