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🛠️ Phantombuster tool MCP server 💪 5 operations

David AshbyDavid Ashby
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2/3/2026
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Complete MCP server exposing all Phantombuster Tool operations to AI agents. Zero configuration needed - all 5 operations pre-built.

⚡ Quick Setup

  1. Import this workflow into your n8n instance
  2. Activate the workflow to start your MCP server
  3. Copy the webhook URL from the MCP trigger node
  4. Connect AI agents using the MCP URL

🔧 How it Works

MCP Trigger: Serves as your server endpoint for AI agent requests • Tool Nodes: Pre-configured for every Phantombuster Tool operation • AI Expressions: Automatically populate parameters via $fromAI() placeholders • Native Integration: Uses official n8n Phantombuster Tool tool with full error handling

📋 Available Operations (5 total)

Every possible Phantombuster Tool operation is included:

🔧 Agent (5 operations)

Delete an agentGet an agentGet many agentsGet the output of an agentAdd an agent to the launch queue

🤖 AI Integration

Parameter Handling: AI agents automatically provide values for: • Resource IDs and identifiers • Search queries and filters • Content and data payloads • Configuration options

Response Format: Native Phantombuster Tool API responses with full data structure

Error Handling: Built-in n8n error management and retry logic

💡 Usage Examples

Connect this MCP server to any AI agent or workflow:

Claude Desktop: Add MCP server URL to configuration • Custom AI Apps: Use MCP URL as tool endpoint • Other n8n Workflows: Call MCP tools from any workflow • API Integration: Direct HTTP calls to MCP endpoints

✨ Benefits

Complete Coverage: Every Phantombuster Tool operation available • Zero Setup: No parameter mapping or configuration needed • AI-Ready: Built-in $fromAI() expressions for all parameters • Production Ready: Native n8n error handling and logging • Extensible: Easily modify or add custom logic

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

PhantomBuster Tool MCP Server Workflow

This n8n workflow acts as an MCP (Model Context Protocol) Server, designed to expose a PhantomBuster tool for use within AI applications, particularly those leveraging Langchain. It simplifies the integration of PhantomBuster's capabilities into AI models by providing a standardized interface.

What it does

This workflow serves as a trigger for an MCP Server. When activated, it:

  1. Listens for incoming requests: The MCP Server Trigger node is configured to listen for requests that conform to the Model Context Protocol.
  2. Exposes a PhantomBuster tool: While the specific PhantomBuster operations are not detailed in this JSON (as it's a trigger-only workflow), the intent is to make PhantomBuster functionalities available as a tool for AI models.
  3. Acts as an entry point: It's the starting point for any AI model or application that wants to utilize a PhantomBuster tool via the MCP.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance to host this workflow.
  • PhantomBuster Account: Access to a PhantomBuster account will be required for the actual PhantomBuster operations that would follow this trigger.
  • Langchain (or compatible AI framework): This workflow is designed to be consumed by AI applications built with Langchain or other frameworks that can interact with MCP Servers.

Setup/Usage

  1. Import the workflow:
    • Copy the provided JSON content.
    • In your n8n instance, go to "Workflows" and click "New".
    • Click the "Import from JSON" button (usually a cloud icon with an arrow pointing down).
    • Paste the JSON content and click "Import".
  2. Activate the workflow:
    • Once imported, ensure the workflow is active by toggling the "Active" switch in the top right corner.
  3. Configure your AI application:
    • Point your Langchain (or other AI framework) application to the endpoint exposed by this MCP Server Trigger. The specific URL will be displayed in the MCP Server Trigger node settings once the workflow is saved and active.
    • Your AI application can then discover and utilize the PhantomBuster tool provided by this server.

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