Adrails MCP MCP server

The Adrails MCP server allows AI assistants to connect to an Adrails workspace via OAuth. It enables agents to read ad account data, analyze performance, prepare advertising changes for user approval, manage integrations and automations, and edit workspace knowledge, all while ensuring no changes are applied to ad accounts without explicit user consent.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-05Operated by Adrails

MCP endpoint (Streamable HTTP)

https://adrails.ai/api/mcp

Vendor documentation

What you can do with it

Read ad account performance and analysis data
Prepare advertising changes for user approval
Manage integrations and automations
Edit workspace Knowledge base

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 adrails-mcp https://adrails.ai/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 adrails-mcp --url https://adrails.ai/api/mcp

Cursor

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

Cursor configuration

{
  "mcpServers": {
    "adrails-mcp": {
      "url": "https://adrails.ai/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": {
    "adrails-mcp": {
      "type": "streamableHttp",
      "url": "https://adrails.ai/api/mcp",
      "disabled": false
    }
  }
}

VS Code

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

VS Code configuration

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

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