Manage Phantombuster agents via MCP server in AI automa

This automation template enables developers and process engineers to manage Phantombuster agents through an MCP server´s HTTP interface, integrated with n8n. It’s ideal for orchestrating headless scraping agents within AI systems built on LangChain and other autonomous workflows.

## Who it´s for
- Developers integrating Phantombuster with AI agents
- Process automators using n8n and external browser scrapers
- Teams using LangChain and MCP for task orchestration
- SaaS products requiring headless agent management

## What the automation does
- Accepts commands from AI agents or external systems via HTTP requests to the MCP server
- Performs operations: list agents, launch, delete, view output
- Handles tool calls from AI agents
- Transfers data between Phantombuster and upstream systems in real time
- Integrates into LangChain chains as an executable component

## What´s included
- Ready-to-use n8n workflow
- Trigger and handler logic based on MCP Server and HTTP API
- Integrations with Phantombuster and AI agents via LangChain
- Basic textual instructions for deployment and adaptation

## Requirements for setup
- n8n instance with HTTP API access
- MCP Server configured to interact with Phantombuster API
- Phantombuster API key
- AI agent (e.g., LangChain-based) capable of making tool calls

## Benefits and outcomes
- Full automation of scraper agent management
- Elimination of manual intervention in launching and monitoring
- Seamless integration into autonomous AI systems
- Flexibility to control agents via any HTTP-compatible client
- Scalability through standardized interfaces
- Compatibility with existing LangChain orchestrators

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.