@vidalytics/mcp
MCP serverDatabases & dataOnce this app is added, your AI can manage your Vidalytics videos and analytics for you. You can handle video and reporting tasks by asking your assistant in plain language instead of working in Vidalytics directly.
Available today. Use it from your connected AI after setup.
No other account needed.
Add the app, then try asking your AI to show your Vidalytics videos or pull up your video analytics.
Then ask your AI: use @vidalytics/mcp
What your AI can do with it
- Manage the videos in your Vidalytics account
- Look up analytics for your videos
- Answer questions about your video performance data
- Handle Vidalytics tasks without leaving your conversation with your AI
From the project's README
As published by vidalytics/vidalytics-mcp in README.md.
One-command setup that connects your AI coding assistant to Vidalytics video analytics data via the Model Context Protocol.
Works with Claude (CLI & Desktop), Windsurf, Cursor, and any other MCP-compatible client.
Setup
npx @vidalytics/mcp install
That's it. The installer detects which AI clients you have installed, lets you pick which ones to configure, and wires them up. Restart the client — a browser window will open for OAuth authorization on first use.
Cursor
Or via the installer:
npx @vidalytics/mcp install --client cursor
Or manually — add this to ~/.cursor/mcp.json:
{
"mcpServers": {
"vidalytics": {
"url": "https://api.vidalytics.com/public/v1/mcp"
}
}
}
Restart Cursor. On first use a browser window opens for OAuth authorization with your Vidalytics account — no API key or environment variables to set.
What it does
- Detects installed MCP clients (Claude CLI, Claude Desktop, Windsurf, Cursor) by checking config files, app directories, binaries in
$PATH, and app bundles (e.g./Applicationson macOS) - Presents an interactive checklist (detected clients pre-selected) so you configure exactly the ones you want — or pick them non-interactively with
--client - Adds Vidalytics as an MCP server in each selected client's config
- Verifies after writing: the config is valid and the MCP server is reachable
- Non-interactive terminals (CI) and any explicit selection flag (
--client,--all,--yes) skip the checklist and behave predictably
Available tools
Once connected, your AI assistant gains access to:
| Tool | Description |
|---|---|
set_user_context | MUST be called before any other tool to enable analytics |
list_videos | List videos with pagination |
get_video | Get video details |
get_video_by_embed_guid | Find a video by its embed GUID |
update_video | Update a video's title or folder |
get_video_embed | Get the embed code and configuration |
get_video_settings | Get playback settings (autoplay, controls, etc) |
get_video_thumbnail | Get the thumbnail image URL |
get_video_stats | Views, play rate, watch time, conversions |
get_video_dropoff | Audience retention by percentage |
get_video_percentage_watched | % of viewers who reached each point |
get_video_live_metrics | Real-time active viewers and watch rate |
get_video_ctas | Get CTAs for a video |
get_video_pause_screens | Get pause screens for a video |
get_videos_stats_batch | Stats for up to 30 videos at once |
get_videos_timeline | Timeline stats for up to 5 videos |
list_folders | List video folders |
list_settings_templates | List settings templates |
get_api_usage | Get current API usage and quota |
list_connections | List apps connected to your account |
revoke_connection | Disconnect an app or yourself |
upload_video_from_url | Upload a video from a remote URL |
get_video_upload_url | Get a signed URL for local file upload |
validate_upload | Complete a direct video upload |
publish_video | Publish a video's pending draft settings |
duplicate_video | Duplicate a video and publish the copy |
create_folder | Create a video folder, optionally nested under another folder |
apply_settings_template | Apply a reusable player settings template to a video |
create_video_cta | Create a call-to-action on a video |
update_video_cta | Update an existing call-to-action on a video |
set_video_thumbnail_from_url | Set a video's thumbnail from a public image URL |
set_video_thumbnail_from_frame | Set a video's thumbnail from one of its frames |
delete_video_thumbnail | Remove a custom thumbnail and restore the default |
Options
npx @vidalytics/mcp install [flags]
--client <names> Configure only these clients, comma-separated
(claude-cli, claude-desktop, windsurf, cursor)
--all Configure all known clients, even if not detected
--config <path> Also configure a custom config file (repeatable)
--force Re-apply even if already configured
--yes Skip prompts (configure detected clients)
Run with no flags in an interactive terminal to get a checklist of clients to configure (detected ones are pre-selected; use space to toggle, enter to confirm). --client cursor,windsurf does the same selection non-interactively.
The --config flag can be repeated for multiple files. The target file must follow the { "mcpServers": {} } format used by Claude Desktop, Cursor, and Windsurf — useful for unsupported clients like Zed or VS Code with an MCP plugin.
Troubleshooting
Authorization issues, or need to re-authenticate? Reset the credentials that
mcp-remote caches in your home directory, then restart the client:
| OS | Command |
|---|---|
| macOS / Linux | rm -rf ~/.mcp-auth |
| Windows (CMD) | rd /s /q "%USERPROFILE%\.mcp-auth" |
| Windows (PowerShell) | Remove-Item -Recurse -Force "$HOME\.mcp-auth" |
MCP Registry
This server is published to the official MCP Registry as com.vidalytics/mcp. It is a remote (streamable-http) server, so registry-aware MCP clients can connect to it directly at:
https://api.vidalytics.com/public/v1/mcp
No API key or environment variables are required — authorization is handled via OAuth on first use.
Requirements
- Node.js 18+
- A Vidalytics account
License
Signals
- Last commit
- Aug 2026
Advanced
- Delivery
- mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
com-vidalytics-mcp- Source
- github.com/vidalytics/vidalytics-mcp
- Hosted endpoint
https://api.vidalytics.com/public/v1/mcp