AI & Machine Learning

entit.ai

Analyzes short-form videos from platforms like TikTok, Instagram Reels, or YouTube Shorts by submitting a URL and polling for analysis results.

1 endpoint4 known toolsFirst detected June 30, 2026Last detected June 30, 2026

ENDPOINT 1

https://api.entit.ai/mcp

No auth detected

Submit a video URL and poll until analysis completes, fails, expires, or maxWaitSeconds is reached.

Inferred read-only

Check whether the entit.ai API is available.

Inferred read-only

Poll a video analysis job by jobId.

Inferred read-only

Submit a TikTok, Instagram Reel, or YouTube Shorts URL for analysis.

Inferred read-only

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.entit-ai]
url = "https://api.entit.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "entit-ai": {
      "type": "http",
      "url": "https://api.entit.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: entit-ai
Remote MCP URL: https://api.entit.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "entit-ai": {
      "url": "https://api.entit.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "entit-ai": {
      "type": "http",
      "url": "https://api.entit.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "entit-ai",
  "transport": "streamable-http",
  "url": "https://api.entit.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

BuiltWith Trust API v2 evidence for entit.ai was fetched 2026-08-03T22:40:29.896Z and is being refreshed.

Trust status Neutral

entit.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.