How to Use the Loom (Async Video Messaging) MCP in OpenAI Agents SDK

Q: How do I connect Loom (Async Video Messaging) to the OpenAI Agents SDK?

Install openai-agents and initialize MCPServerStreamableHttp using your Vinkius endpoint. This connects the MCP server directly, and your agent automatically discovers all eight available tools.

Q: How does tool caching work for Loom (Async Video Messaging) in OpenAI Agents SDK?

Set cacheToolsList=True in your server configuration. This prevents the SDK from repeatedly querying the schema of tools like listvideos and gettranscript, saving network overhead on every run.

Q: How do I track which agent pulled a Loom transcript?

Use the OpenAI developer dashboard. Every execution of gettranscript or updatevideo shows up in the system traces, showing exactly which agent initiated the call.

Give your OpenAI Agents SDK production pipeline direct, programmatic access to Loom video metadata and transcripts.

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Connect Loom (Async Video Messaging) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Loom (Async Video Messaging) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Loom (Async Video Messaging) with OpenAI Agents SDK

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Sync video metadata with OpenAI Agents SDK

Your agent calls `get_video` to fetch specific video details directly into your production run. This tool feeds raw metadata straight to your specialized agent, allowing it to instantly route assets based on duration, owner, or creation date. You track these operations in the OpenAI tracing dashboard. If the agent needs to move files, it queries `list_folders` to find the exact workspace destination without manual human intervention.

Run transcripts through guardrails using this MCP Server

The `get_transcript` tool from this MCP server extracts raw text from your Loom recordings for immediate processing. Your agent consumes this data, passes it through OpenAI guardrails to flag sensitive information, and summarizes action items. Because OpenAI Agents SDK handles agent handoffs, one agent can pull the text while another writes a technical ticket. This setup keeps your automated workflows safe, precise, and completely documented.

Track engagement and clean up stale videos

You execute `get_video_analytics` to monitor viewer completion rates and drop-off points directly from your agentic workflows. When an agent identifies outdated assets with zero views, it triggers `delete_video` to keep your workspace clean. Before executing any destructive action, the SDK's built-in validation rules verify the video ID. This prevents accidental deletions while maintaining an automated, data-driven cleanup pipeline.

Setup guide

Set up Loom (Async Video Messaging) MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Loom (Async Video Messaging) tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Loom (Async Video Messaging) tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Loom (Async Video Messaging) tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Loom (Async Video Messaging) Agent",
            instructions="You have access to Loom (Async Video Messaging) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Loom (Async Video Messaging) MCP in OpenAI Agents SDK

Install `openai-agents` and initialize `MCPServerStreamableHttp` using your Vinkius endpoint. This connects the MCP server directly, and your agent automatically discovers all eight available tools.

Yes. You configure guardrails within the SDK to intercept the `delete_video` tool call before execution. This ensures your agent never deletes a video without meeting your strict, predefined safety parameters.

Set `cacheToolsList=True` in your server configuration. This prevents the SDK from repeatedly querying the schema of tools like `list_videos` and `get_transcript`, saving network overhead on every run.

Use the OpenAI developer dashboard. Every execution of `get_transcript` or `update_video` shows up in the system traces, showing exactly which agent initiated the call.

Yes. The server runs inside an ephemeral, zero-trust V8 sandbox that isolates your video transcripts and analytics. No data is stored permanently, and all authentication relies on a single secure Vinkius token.

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