Manage your Vidalytics videos and analytics from your AI assistant.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Choose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Capabilities & Tool Schemas (33)
Inspect callable tools, capabilities, and parameters exposed to AI agents by Vidalytics MCP.
set_user_contextMUST be called before any other tool to enable analytics
list_videosList videos with pagination
get_videoGet video details
get_video_by_embed_guidFind a video by its embed GUID
update_videoUpdate a video's title or folder
get_video_embedGet the embed code and configuration
Documentation Overview
@vidalytics/mcp
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
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:
Or manually — add this to ~/.cursor/mcp.json:
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
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:
No API key or environment variables are required — authorization is handled via OAuth on first use.
Requirements
- Node.js 18+
- A Vidalytics account
License
Related MCP Servers
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
npm downloads
6k
Package downloads in the last 30 days.
Last commit
12d ago
Most recent push to the default branch.
Tools exposed
33
Callable tools this server registers over MCP.
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Frequently Asked Questions about Vidalytics MCP
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56Quality signal: Good · 56/100How this signal is calculated ▾
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Verified ownership10/20
Documentation & tools24/30
Adoption & activity8/15
Community engagement0/10
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Scanned 17h ago via OSV.dev · @vidalytics/mcp (npm)
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