Connect RhinoRank to your AI assistant

1. In Claude, open Customize → Connectors.
2. Click +, then Add custom connector.
3. Paste the server URL and click Add.
4. Click Connect, sign in to Rhino Rank and click Approve.

1. Open chatgpt.com in a browser. On a phone or tablet, use the browser rather than the ChatGPT app and switch to the desktop site from the browser menu (Desktop site in Chrome, Request Desktop Website in Safari): the app and the mobile site can't add a server.
2. Open Plugins and click +.
3. Choose Add custom MCP server. Name it Rhino Rank, paste the server URL and set Authentication to OAuth.
4. Tick the risk acknowledgement and click Create as a plugin.
5. Sign in to Rhino Rank and approve.
6. In a chat, type @Rhino Rank to use it.

On grok.com

1. Open Connectors, click New Connector and choose Custom.
2. Paste the server URL.
3. Sign in to Rhino Rank and approve.

Grok CLI

grok mcp add --transport http rhinorank https://app.rhinorank.io/mcp

1. Run the command above in your terminal.
2. The first time Grok uses the server it opens a browser window: sign in to Rhino Rank and approve.

Grok APIAPI key

{
  "type": "mcp",
  "server_url": "https://app.rhinorank.io/mcp",
  "server_label": "rhinorank",
  "authorization": "<your API key>"
}

1. Create a personal API key on your AI Assistants page.
2. Add the mcp tool above to the tools of your request, with the key as authorization.

1. Create a personal API key on your AI Assistants page.
2. In Perplexity, open Settings → Connectors, click + Custom connector and choose Remote.
3. Enter the Name Rhino Rank and paste the server URL as the MCP Server URL.
4. Set Authentication to API Key and paste your key.
5. Set Transport to Streamable HTTP, then save the connector.

claude mcp add --transport http rhinorank https://app.rhinorank.io/mcp

1. Run the command above in your terminal.
2. In Claude Code, run /mcp, choose rhinorank and then Authenticate.
3. Sign in to Rhino Rank in the browser window that opens and approve.

codex mcp add rhinorank --url https://app.rhinorank.io/mcp
codex mcp login rhinorank

1. Run the two commands above in your terminal.
2. Sign in to Rhino Rank in the browser window that opens and approve.

{
  "mcpServers": {
    "rhinorank": {
      "url": "https://app.rhinorank.io/mcp"
    }
  }
}

1. Add the block above to ~/.cursor/mcp.json, or add a server from Cursor's MCP settings.
2. When Cursor shows the server as needing sign-in, click it, sign in to Rhino Rank and approve.

{
  "servers": {
    "rhinorank": {
      "type": "http",
      "url": "https://app.rhinorank.io/mcp"
    }
  }
}

1. Add the block above to .vscode/mcp.json in your project, or run MCP: Add Server from the Command Palette.
2. Start the server when VS Code asks, then sign in to Rhino Rank and approve.
3. Use it from Copilot Chat in agent mode.

copilot mcp add --transport http rhinorank https://app.rhinorank.io/mcp

1. Run the command above in your terminal, or run /mcp add inside Copilot CLI and choose HTTP.
2. The first time Copilot uses the server it opens a browser window: sign in to Rhino Rank and approve.

{
  "mcpServers": {
    "rhinorank": {
      "httpUrl": "https://app.rhinorank.io/mcp"
    }
  }
}

1. Add the block above to ~/.gemini/settings.json.
2. In Gemini CLI, run /mcp auth rhinorank, sign in to Rhino Rank and approve.

{
  "mcpServers": {
    "rhinorank": {
      "serverUrl": "https://app.rhinorank.io/mcp"
    }
  }
}

1. Add the block above to ~/.codeium/windsurf/mcp_config.json, or add the server from Windsurf's MCP panel.
2. When Windsurf asks you to sign in, sign in to Rhino Rank and approve.

{
  "mcp": {
    "rhinorank": {
      "type": "remote",
      "url": "https://app.rhinorank.io/mcp"
    }
  }
}

1. Add the block above to your opencode.json.
2. Run opencode mcp auth rhinorank, sign in to Rhino Rank and approve.

{
  "mcpServers": {
    "rhinorank": {
      "type": "http",
      "url": "https://app.rhinorank.io/mcp",
      "headers": {
        "Authorization": "Bearer $COPILOT_MCP_RHINORANK_KEY"
      },
      "tools": [
        "*"
      ]
    }
  }
}

1. Create a personal API key on your AI Assistants page.
2. In the repository on GitHub, open Settings → Copilot → MCP servers.
3. Paste the block above into MCP configuration and click Save MCP configuration.
4. Add an Agents secret named COPILOT_MCP_RHINORANK_KEY holding your key.

Tools that sign in

1. Any MCP client that supports remote servers with OAuth, for example Zed, Cline or Kiro: add the server URL.
2. Sign in to Rhino Rank and approve.

Tools that only take a headerAPI key

Authorization: Bearer <your API key>

1. Create a personal API key on your AI Assistants page.
2. Send it with every request to the server URL as the header above, or as X-API-Key: <key>.