Loom (Async Video Messaging) Connector for AI agents.
8 live capabilities
Manage video messages and screencast analytics through your AI client.
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Why people use Loom (Async Video Messaging)
Loom for Faster Support Response Times
This Connector lets your agent do the scanning for you. You can ask it to find specific comments or summarize the analytics across multiple videos in one go. You get the answers without the tab-switching.
What Vinkius changes
You get a voice-controlled interface for your entire Loom library.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Support engagement tracking
A support lead asks the agent to find the 'Login Bug' video and summarize the last 3 comments to see if the customer is still stuck.
- Real-world use case 02
Product walkthrough audits
A PM asks the agent to pull analytics for the 'New Feature Walkthrough' to see which step caused the most viewers to stop watching.
- Real-world use case 03
Bulk library organization
A manager asks the agent to list all videos in the 'Q3 Updates' folder and find the one with the most views.
Complete set · 8capabilities
The complete Loom (Async Video Messaging) capability set.
These are the exact actions your AI can choose when you ask it to work with Loom (Async Video Messaging).
01—04
4 capabilities in this set.
Part of 8 available through Loom (Async Video Messaging).
- 01 Capability
List videos
See every video in your workspace. Use this to quickly scan your library for specific content.
- 02 Capability
Get video
Grab specific details for a single video. This helps you get titles and links without opening the browser.
- 03 Capability
Delete video
Remove a video permanently from your library. This is useful for cleaning up old drafts or outdated content.
- 04 Capability
Update video
Change the title of an existing video. Use this to keep your video names accurate as projects evolve.
05—08
4 capabilities in this set.
Part of 8 available through Loom (Async Video Messaging).
- 05 Capability
Get transcript
Pull the full text transcript of a video. This makes it easy to search for specific spoken content.
- 06 Capability
List folders
View all the folders in your Loom workspace. Use this to understand your current organizational structure.
- 07 Capability
List workspace members
See who has access to your workspace. This helps you manage permissions and team visibility.
- 08 Capability
Get video analytics
Get data on how people watched your content. This gives you insight into viewer engagement and retention.
Set up in minutes
One URL. Then ask Loom (Async Video Messaging) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Loom (Async Video Messaging) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Uu9jPN9J4ZKTMBM6vNYe7pDv8xkM7PV88lMaLqfl/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Loom (Async Video Messaging), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Loom (Async Video Messaging) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_Uu9jPN9J4ZKTMBM6vNYe7pDv8xkM7PV88lMaLqfl/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Loom (Async Video Messaging) URL.
- Step 03
Save and start
Save the connection and enable Loom (Async Video Messaging) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"loom-async-video-messaging": {
"url": "https://edge.vinkius.com/vk_preview_Uu9jPN9J4ZKTMBM6vNYe7pDv8xkM7PV88lMaLqfl/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Loom (Async Video Messaging)
Open Agent mode in chat and ask: "Using Loom (Async Video Messaging), help me...". 8 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"loom-async-video-messaging": {
"url": "https://edge.vinkius.com/vk_preview_Uu9jPN9J4ZKTMBM6vNYe7pDv8xkM7PV88lMaLqfl/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Loom (Async Video Messaging)
Ask Copilot: "Using Loom (Async Video Messaging), help me...". 8 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"loom-async-video-messaging": {
"url": "https://edge.vinkius.com/vk_preview_Uu9jPN9J4ZKTMBM6vNYe7pDv8xkM7PV88lMaLqfl/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Loom (Async Video Messaging)
Open Cascade and ask: "Using Loom (Async Video Messaging), help me...". 8 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"loom-async-video-messaging": {
"url": "https://edge.vinkius.com/vk_preview_Uu9jPN9J4ZKTMBM6vNYe7pDv8xkM7PV88lMaLqfl/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Loom (Async Video Messaging)
Ask Cline: "Using Loom (Async Video Messaging), help me...". 8 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add loom-async-video-messaging --transport http "https://edge.vinkius.com/vk_preview_Uu9jPN9J4ZKTMBM6vNYe7pDv8xkM7PV88lMaLqfl/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Loom (Async Video Messaging)
Ask Claude: "Using Loom (Async Video Messaging), show me...". 8 tools are ready
Where the request belongs
Work Loom can move forward.
This is for anyone who manages a high volume of Loom links and needs to audit engagement or organize content without clicking every single URL.
Customer Support Lead
Checks if customers watched specific fix videos and responds to timeline comments directly through the agent.
Product Manager
Audits viewer sessions on feature walkthroughs to identify where users get stuck or drop off.
Remote Team Leader
Monitors viewership analytics on team updates to ensure critical info is being consumed.
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Bring your own AI
Change the model, client or framework. Keep Loom connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
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Void -
Augment Code -
Amp -
Qodo -
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Pieces -
Sourcegraph Cody -
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Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Loom.
The practical details behind the request, access and result.
Can the Loom MCP read my video comments?
Yes, it can read, add, and delete threaded comments on any video in your workspace. This allows your agent to summarize feedback or reply to users without you needing to open the Loom app.
Can I use the Loom MCP to see who watched my video?
Yes, the Connector pulls viewer analytics. You can ask your agent to check how many people watched a video and see exactly where they dropped off.
Does the Loom MCP let me download videos?
Yes, it can generate ephemeral download links for raw MP4 files. This is great for grabbing a copy of a screencast for your local records or archives.
Can I organize my Loom folders with this?
Yes, you can use your agent to list folders and move videos into specific locations. It's a fast way to keep your video library organized as your projects grow.
Is the Loom MCP good for support teams?
It's perfect for support teams. It allows you to quickly scan through customer-shared videos to find specific issues and track engagement across multiple tickets.
Can the Loom MCP get video transcripts?
Yes, you can pull the full text transcript of any video. This makes it much easier to search for specific spoken content or share the key takeaways with your team.
Can I see who watched my video using my agent?
Yes. Use the list_viewer_sessions capability 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 capability 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 capability to post threaded messages directly to the video. Your agent can help you maintain community interaction by drafting and sending replies through natural conversation.
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