Can I see who watched my video using my agent?

Yes. Use the `list_viewer_sessions` tool with a specific Video ID. Your agent will retrieve the viewing telemetry, allowing you to see exactly how many times the video was watched and which specific segments were most engaging.

How do I download a raw MP4 file of a Loom video through a conversation?

The `create_download_url` tool forces the backend to allocate an ephemeral S3 pre-signed URL. Your agent will provide this link, which allows you to stream or download the raw bytes of your video directly.

Can my agent respond to comments on my video timeline?

Absolutely. Use the `add_timeline_comment` tool to post threaded messages directly to the video. Your agent can help you maintain community interaction by drafting and sending replies through natural conversation.

Loom (Async Video Messaging) MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Loom (Async Video Messaging)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Loom (Async Video Messaging) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Loom (Async Video Messaging) Assistant",
            instructions=(
                "You help users interact with Loom (Async Video Messaging). "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Loom (Async Video Messaging)"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Loom (Async Video Messaging) MCP Server

Connect your Loom account to any AI agent and take full control of your asynchronous video communication and screencast management through natural conversation.

The OpenAI Agents SDK auto-discovers all 8 tools from Loom (Async Video Messaging) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Loom (Async Video Messaging), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Video Orchestration — List all accessible workspace videos and retrieve detailed metadata including titles, durations, and exact permalinks directly from your agent
Timeline Engagement — Read, add, or delete threaded comments on any video timeline to maintain high-touch communication without opening the browser
Viewer Analytics — Extract detailed session telemetry to understand exact watch segments and viewership numbers for your shared content
Digital Delivery — Generate precise ephemeral MP4 download endpoints to retrieve raw video files physically, bypassing internal UI locking
Organization Control — Update video titles and properties in real-time, or relocate specific screencasts into target workspace folders for better library management
Cleanup Operations — Irreversibly delete specific screencast videos to maintain a clean and optimized video workspace

The Loom (Async Video Messaging) 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 Loom (Async Video Messaging) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Loom (Async Video Messaging) 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 Loom (Async Video Messaging)

Why Use OpenAI Agents SDK with the Loom (Async Video Messaging) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Loom (Async Video Messaging) 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

Loom (Async Video Messaging) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Loom (Async Video Messaging) MCP Server delivers measurable value.

Automated workflows: build agents that query Loom (Async Video Messaging), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Loom (Async Video Messaging), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Loom (Async Video Messaging) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Loom (Async Video Messaging) to resolve tickets, look up records, and update statuses without human intervention

Loom (Async Video Messaging) MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Loom (Async Video Messaging) to OpenAI Agents SDK via MCP:

delete_video

This action cannot be undone. Delete a video

get_transcript

Get video transcript

get_video

Get video details

get_video_analytics

Get video analytics

list_folders

List workspace folders

list_videos

List all Loom videos

list_workspace_members

List workspace members

update_video

Update video title

Example Prompts for Loom (Async Video Messaging) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Loom (Async Video Messaging) immediately.

"List the last 5 videos in my Loom workspace"

"Show me the comments for video ID 'vid-123'"

"Get the download link for video ID 'vid-456'"

Troubleshooting Loom (Async Video Messaging) MCP Server with OpenAI Agents SDK

Common issues when connecting Loom (Async Video Messaging) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Loom (Async Video Messaging) + OpenAI Agents SDK FAQ

Common questions about integrating Loom (Async Video Messaging) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.