Vidalytics MCP server
online · 100% uptimecom.vidalytics/mcp·v0.4.1Manage your Vidalytics videos and analytics from your AI assistant.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Vidalytics tools
Tool list not cached yet. `describe` through the gateway fetches it live.
Public scan report
scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 245ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 30 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
How Vidalytics compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 98/100
- higher than 99% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 286 ms
- faster than 49% of 30,031 servers
Install Vidalytics in Claude Code, Cursor or VS Code
claude mcp add --transport http mcp https://api.vidalytics.com/public/v1/mcp
What the publisher says
From the Vidalytics repository's README, as published. We do not edit it. Read it on GitHub
@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
npx @vidalytics/mcp installThat'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 cursorOr 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. /Applications on 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:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Vidalytics: common questions
- Is Vidalytics MCP server safe?
- Yes, by our scan: it is graded A (98/100). Read the Vidalytics safety report
- How do I install Vidalytics?
- It runs remotely at api.vidalytics.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Vidalytics need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is Vidalytics maintained?
- The last commit was 34 days ago (2026-10-01). The latest release is v0.4.1.
- Is Vidalytics up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does Vidalytics compare with other MCP servers?
- safety score 98/100 (higher than 99% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 286 ms (faster than 49% of 30,031 servers). Full comparison.