Claude connector
Install Vidalytics directly from Claude’s connector directory, then sign in with your Vidalytics account.
Connect in ClaudeAsk a supported AI assistant to find, organize, publish, and analyze your Vidalytics videos while you stay in control of important changes.
Three steps from connection to completed work.
Add the hosted Vidalytics MCP server, then sign in with your existing Vidalytics account.
Ask the assistant to find a video, inspect its setup, compare performance, or prepare an account change.
Start with read-only access. Use read & write only when the client needs to make approved changes.
Install in Claude today, use the npm package locally, or watch for more one-click connectors.
Install Vidalytics directly from Claude’s connector directory, then sign in with your Vidalytics account.
Connect in ClaudeUse the npm package for desktop clients configured through a terminal or local JSON file.
View npm packageOne-click installation for ChatGPT and more AI assistants is on the way.
$ add remote MCP server# Sign in with your Vidalytics account{"mcpServers":{"vidalytics":{"url":"https://api.vidalytics.com/public/v1/mcp"}}}Manage videos, review setup, and understand performance, while important changes stay subject to your approval.
Search your full library, confirm the match, and organize videos without breaking your workflow.
Use Vidalytics MCP with the Public API access already included in eligible plans.
Quick answers before you connect Vidalytics to your AI client.
A secure, AI-friendly layer over the Vidalytics Public API. It lets supported AI clients inspect video data and run approved management workflows through your authenticated account.
No. Add the hosted MCP server URL to a supported client, then sign in with your existing Vidalytics account.
Vidalytics MCP is available with Premium and Enterprise plans.
Only when you grant read & write access. Read-only is the recommended starting point for clients that only need to inspect your account.
Use a client that supports remote MCP servers with OAuth. Local desktop clients can also connect through the Vidalytics npm package.
Yes. MCP tools call the Vidalytics Public API, so usage follows your current plan's allowance and limits.
Connect Vidalytics MCP to manage, inspect, and analyze videos from a supported AI client.