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Create a domains-index API server with full operation access for AI agents

David AshbyDavid Ashby
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2/3/2026
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Complete MCP server exposing 14 Domains-Index API operations to AI agents.

⚡ Quick Setup

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Join the community

  1. Import this workflow into your n8n instance
  2. Credentials Add Domains-Index API credentials
  3. Activate the workflow to start your MCP server
  4. Copy the webhook URL from the MCP trigger node
  5. Connect AI agents using the MCP URL

🔧 How it Works

This workflow converts the Domains-Index API into an MCP-compatible interface for AI agents.

• MCP Trigger: Serves as your server endpoint for AI agent requests • HTTP Request Nodes: Handle API calls to /v1 • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Returns responses directly to the AI agent

📋 Available Operations (14 total)

🔧 Domains (9 endpoints)

• GET /domains/search: Domains Database Search • GET /domains/tld/{zone_id}: Get TLD records • GET /domains/tld/{zone_id}/download: Download Whole Dataset for TLD • GET /domains/tld/{zone_id}/search: Domains Search for TLD • GET /domains/updates/added: Get added domains, latest if date not specified • GET /domains/updates/added/download: Download added domains, latest if date not specified • GET /domains/updates/deleted: Get deleted domains, latest if date not specified • GET /domains/updates/deleted/download: Download deleted domains, latest if date not specified • GET /domains/updates/list: List of updates

🔧 Info (5 endpoints)

• GET /info/api: GET /info/api • GET /info/stat/: Returns overall stagtistics • GET /info/stat/{zone}: Returns statistics for specific zone • GET /info/tld/: Returns overall Tld info • GET /info/tld/{zone}: Returns statistics for specific zone

🤖 AI Integration

Parameter Handling: AI agents automatically provide values for: • Path parameters and identifiers • Query parameters and filters • Request body data • Headers and authentication

Response Format: Native Domains-Index API responses with full data structure

Error Handling: Built-in n8n HTTP request error management

💡 Usage Examples

Connect this MCP server to any AI agent or workflow:

• Claude Desktop: Add MCP server URL to configuration • Cursor: Add MCP server SSE URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • API Integration: Direct HTTP calls to MCP endpoints

✨ Benefits

• Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n HTTP request handling and logging • Extensible: Easily modify or add custom logic

> 🆓 Free for community use! Ready to deploy in under 2 minutes.

Create a Domains Index API Server with Full Operation Access for AI Agents

This n8n workflow sets up a Model Context Protocol (MCP) server that acts as an API endpoint, providing AI agents with full operational access to a domains index. This allows AI agents to interact with and manage domain data through a standardized protocol.

What it does

This workflow simplifies the process of exposing a domains index to AI agents by:

  1. Listening for MCP Requests: It acts as an MCP server, waiting for incoming requests from AI agents.
  2. Providing Operational Access: When an AI agent sends a request, the server is designed to grant full operational access, enabling the agent to perform various actions (e.g., query, add, update, delete) on the domains index.
  3. Facilitating AI-driven Domain Management: By exposing the domains index via MCP, AI agents can autonomously manage and interact with domain data, enabling advanced automation and intelligent operations.

Prerequisites/Requirements

  • n8n Instance: An active n8n instance to host and run the workflow.
  • Model Context Protocol (MCP) compatible AI Agents: AI agents or systems capable of communicating using the Model Context Protocol to interact with this server.
  • Domains Index: An existing "domains index" that the AI agents will interact with. While not explicitly defined in this starter workflow, the subsequent nodes would typically connect to a database, API, or other service holding this domain data.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON file.
    • In your n8n instance, click "New" in the workflows list.
    • Click the three dots in the top right corner and select "Import from JSON".
    • Paste the workflow JSON or upload the file.
  2. Configure the MCP Server Trigger:
    • The MCP Server Trigger node (named "MCP Server Trigger") is already configured to listen for incoming requests.
    • You may need to configure the specific endpoint or authentication details depending on your n8n setup and how your AI agents will connect.
  3. Extend the Workflow (Crucial Next Steps):
    • This workflow currently only sets up the trigger. To make it functional, you will need to add subsequent nodes to:
      • Process incoming MCP requests: Parse the requests from the AI agents.
      • Interact with your Domains Index: Connect to your database, API, or service that holds the domain data. This might involve HTTP Request, Database, or custom nodes.
      • Perform operations: Implement the logic for "full operation access" (e.g., read, create, update, delete domains based on the agent's request).
      • Return responses: Format and send back appropriate responses to the AI agents via the MCP protocol.
  4. Activate the Workflow: Once configured, activate the workflow by toggling the "Active" switch in the top right corner of the workflow editor.

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