ET Ducky MCP

An official read-only MCP server provided by ET Ducky that allows AI assistants to access organization data via the Model Context Protocol. It exposes tools to retrieve lists of agents, active alerts, and fleet summaries, mirroring the data available through their REST API. Authentication is handled via organization API tokens, ensuring secure access to specific workspace data without allowing any write operations.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-18Operated by ET Ducky

MCP endpoint (Streamable HTTP)

https://etducky.com/api/mcp

Vendor documentation

What you can do with it

Retrieve a list of managed agents and their status
Fetch active alerts and their severity levels
Get a summary of the agent fleet health
Monitor agent distribution across operating systems

Tools advertised by the last live check:

list_agents
get_agent
list_alerts
get_fleet_summary

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http et-ducky-mcp https://etducky.com/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add et-ducky-mcp --url https://etducky.com/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable et-ducky-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "et-ducky-mcp": {
      "url": "https://etducky.com/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "et-ducky-mcp": {
      "type": "streamableHttp",
      "url": "https://etducky.com/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start et-ducky-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "et-ducky-mcp": {
      "type": "http",
      "url": "https://etducky.com/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http et-ducky-mcp https://etducky.com/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "et-ducky-mcp": {
      "url": "https://etducky.com/api/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "et-ducky-mcp": {
      "serverUrl": "https://etducky.com/api/mcp"
    }
  }
}

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