AI & Machine Learning

aicanary.app

Assesses websites for AI agent readiness and catalogs sites exposing agent interfaces.

1 endpoint2 known toolsFirst detected July 5, 2026Last detected July 5, 2026

ENDPOINT 1

https://aicanary.app/mcp

No auth detected

Known tools 2

check_ai_readiness

Check how ready a website is for AI assistants and agents: AI visibility, classic SEO, and agent-interface signals.

Inferred read-only

list_agent_ready_sites

List the sites in the AICanary public catalog that expose agent services (MCP server, API catalog, OAuth, A2A, agentic commerce, llms.txt, markdown, etc.), with the capabilities each one offers.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

[mcp_servers.aicanary-app]
url = "https://aicanary.app/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "aicanary-app": {
      "type": "http",
      "url": "https://aicanary.app/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: aicanary-app
Remote MCP URL: https://aicanary.app/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": {
    "aicanary-app": {
      "url": "https://aicanary.app/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "aicanary-app": {
      "type": "http",
      "url": "https://aicanary.app/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "aicanary-app",
  "transport": "streamable-http",
  "url": "https://aicanary.app/mcp"
}

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for aicanary.app was fetched 2026-07-28T08:07:03.829Z and is being refreshed.

Trust status Neutral

aicanary.app 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.