Which integrations are available for this server?

Allows fetching linked Confluence pages and meeting notes URLs from Loom videos. Provides tools to list, search, and manage Loom videos, including transcripts, summaries, comments, tasks, reactions, tags, folders, spaces, and more via Loom's internal GraphQL API.

How do I use loom-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@loom-mcp list my recent videos" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

loom-mcp

by karbassi

Overview Schema Related Servers Score Discussions

Python

Remote

Loom MCP Server

License: MIT Python 3.11+

MCP server exposing 59 tools for Loom's internal GraphQL API. Works with Claude, Cursor, or any MCP-compatible client.

Features

List, search, and get detailed metadata for Loom videos
Read transcripts, captions, AI summaries, chapters, and key takeaways
Save any fetched content to disk on demand via save_dir parameter
Manage comments, tasks, reactions, and tags
Organize with folders, spaces, and watch lists
Update video settings, share to spaces, and more

Related MCP server: youtube-mcp

Prerequisites

Python 3.11+
uv package manager

Setup

Authentication

IMPORTANT

This server uses Loom's internal GraphQL API via a browser session cookie. There is no official API key — you must grab the cookie from your browser.

Open loom.com in your browser
Open DevTools (F12) → Application → Cookies → https://www.loom.com
Copy the value of the connect.sid cookie (starts with s%3A...)
Paste it as LOOM_COOKIE in your MCP client config below, prefixed with connect.sid=

The cookie lasts about 30 days. See Troubleshooting if you get auth errors.

Installation

Pick your MCP client below for the appropriate config. Each uses uvx to install and run directly from GitHub — no clone needed.

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "loom": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--from", "git+https://github.com/karbassi/loom-mcp.git", "loom-mcp"],
      "env": {
        "LOOM_COOKIE": "connect.sid=s%3A..."
      }
    }
  }
}

claude mcp add loom -- uvx --from git+https://github.com/karbassi/loom-mcp.git loom-mcp

Then set the env var in your shell or .env:

export LOOM_COOKIE="connect.sid=s%3A..."

Add to your Cursor MCP settings (.cursor/mcp.json):

{
  "mcpServers": {
    "loom": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--from", "git+https://github.com/karbassi/loom-mcp.git", "loom-mcp"],
      "env": {
        "LOOM_COOKIE": "connect.sid=s%3A..."
      }
    }
  }
}

Add to your VS Code settings (.vscode/mcp.json):

{
  "mcpServers": {
    "loom": {
      "type": "stdio",
      "command": "uvx",
      "args": ["--from", "git+https://github.com/karbassi/loom-mcp.git", "loom-mcp"],
      "env": {
        "LOOM_COOKIE": "connect.sid=s%3A..."
      }
    }
  }
}

git clone git@github.com:karbassi/loom-mcp.git
cd loom-mcp
uv sync
uv run loom-mcp

Or reference it from any MCP client:

{
  "mcpServers": {
    "loom": {
      "type": "stdio",
      "command": "uv",
      "args": ["run", "--directory", "/path/to/loom-mcp", "loom-mcp"],
      "env": {
        "LOOM_COOKIE": "connect.sid=s%3A..."
      }
    }
  }
}

Tools

Read (30 tools)

Tools marked with Save accept an optional save_dir parameter — see Saving to disk.

Tool	Description	Save
`list_videos`	List your videos, sorted by most recent
`search_videos`	AI-powered semantic search
`get_video`	Video metadata (name, duration, owner, views)	`metadata.json`
`get_transcript`	Full transcript with timestamps and speakers	`transcript.txt`
`get_captions`	WebVTT captions with start+end timestamps per cue	`captions.vtt`
`get_summary`	AI-generated summary	`summary.txt`
`get_chapters`	AI-generated chapters	`chapters.txt`
`get_description`	AI-generated detailed description with timestamped sections	`description.txt`
`get_key_takeaways`	AI-generated key takeaways	`takeaways.txt`
`get_comments`	Comments and replies	`comments.txt`
`get_tasks`	AI-generated action items	`tasks.txt`
`get_reactions`	Emoji reactions	`reactions.txt`
`get_tags`	Video tags	`tags.txt`
`get_backlinks`	External references (where the video is shared/embedded)	`backlinks.txt`
`get_meeting_notes`	Confluence meeting notes URL
`get_confluence_pages`	Linked Confluence pages
`get_download_url`	Signed MP4 download URL
`get_video_details`	All-in-one: metadata + transcript + chapters + summary + comments + tasks	`details.md` + all above
`list_folders`	List your folders
`list_spaces`	List your workspaces
`get_space`	Space details (name, privacy, primary)
`search_folders`	Search folders by name
`get_folder`	Folder details
`get_last_watch_time`	Last timestamp where you stopped watching
`get_watch_later_count`	Number of videos in your Watch Later list
`get_total_videos_count`	Total videos created by a user
`get_frequent_reactions`	Your most-used emoji reaction types
`get_comment_reactions`	Emoji reactions on a specific comment
`get_user`	User profile by ID (name, email, company, avatar)
`search_workspace_tags`	Search tags in your workspace

Write (29 tools)

NOTE

Write tools modify your Loom data. Destructive actions (delete, archive, move) cannot always be undone.

Tool	Description
`update_video_name`	Rename a video
`update_video_description`	Update video description
`update_video_settings`	Update video settings (downloads, comments, etc.)
`create_comment`	Post a comment (with optional timestamp)
`edit_comment`	Edit an existing comment
`delete_comment`	Delete a comment
`create_task`	Create an action item on a video
`update_task`	Update the content of an action item
`delete_task`	Delete an action item
`approve_task`	Mark a task as approved
`respond_to_task`	Respond to a task
`add_reaction`	Add an emoji reaction at a timestamp
`delete_reaction`	Delete a reaction
`add_comment_reaction`	React to a comment with an emoji
`toggle_following`	Follow/unfollow a video
`toggle_following_tag`	Follow/unfollow a workspace tag
`archive_videos`	Archive or unarchive videos
`duplicate_video`	Duplicate a video
`delete_video`	Permanently delete a video
`recover_video`	Recover a deleted video from trash
`pin_video`	Pin or unpin a video in your library
`add_to_watch_later`	Add to Watch Later list
`remove_from_watch_later`	Remove from Watch Later list
`create_folder`	Create a new folder
`rename_folder`	Rename a folder
`delete_folders`	Delete folders
`move_videos`	Move videos to a different folder
`move_folders`	Move folders into a different parent folder
`share_videos_to_spaces`	Share videos to one or more spaces

Saving to disk

Most per-video read tools accept an optional save_dir parameter. When provided, the tool saves its output to {save_dir}/{video_id}/ and returns the file path alongside the content. When omitted, nothing is saved.

Just ask naturally — "get the details from my last meeting and save them to the ask directory" — and the LLM will pass save_dir="ask" to the tool.

get_video_details saves each piece individually (metadata.json, transcript.txt, summary.txt, etc.) plus a combined details.md.

Troubleshooting

Auth errors

If you get auth errors, your connect.sid cookie has expired (~30 days). Grab a fresh one from your browser using the steps in Authentication.

Debugging with MCP Inspector

npx @modelcontextprotocol/inspector uvx --from git+https://github.com/karbassi/loom-mcp.git loom-mcp

Contributing

Issues and pull requests are welcome on GitHub.

License

MIT

Install Server

license - permissive license

quality

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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