PhantomBuster MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add PhantomBuster as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="phantombuster_agent",
tools=tools,
system_message=(
"You help users with PhantomBuster. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About PhantomBuster MCP Server
Connect your PhantomBuster account to any AI agent and take full control of your lead generation and web automation workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use PhantomBuster tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Agent Oversight — List all your Phantoms and workflows to maintain visibility over your automation suite.
- Automation Control — Launch and abort Phantoms directly through the agent, including support for custom arguments.
- Result Retrieval — Fetch the latest outputs and data extracted by your Phantoms for immediate analysis.
- Configuration Auditing — Review the setup and arguments of any Phantom to verify your automation logic.
- Usage Monitoring — Get account settings and usage info to track your available execution time.
The PhantomBuster MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect PhantomBuster to AutoGen via MCP
Follow these steps to integrate the PhantomBuster MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from PhantomBuster automatically
Why Use AutoGen with the PhantomBuster MCP Server
AutoGen provides unique advantages when paired with PhantomBuster through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use PhantomBuster tools to solve complex tasks
Role-based architecture lets you assign PhantomBuster tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive PhantomBuster tool calls
Code execution sandbox: AutoGen agents can write and run code that processes PhantomBuster tool responses in an isolated environment
PhantomBuster + AutoGen Use Cases
Practical scenarios where AutoGen combined with the PhantomBuster MCP Server delivers measurable value.
Collaborative analysis: one agent queries PhantomBuster while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from PhantomBuster, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using PhantomBuster data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process PhantomBuster responses in a sandboxed execution environment
PhantomBuster MCP Tools for AutoGen (10)
These 10 tools become available when you connect PhantomBuster to AutoGen via MCP:
abort_phantom
Stop a running Phantom
get_phantom
Get details for a specific Phantom
get_phantom_output
Get output/results from a Phantom
get_phantom_setup
Get configuration arguments for a Phantom
get_phantombuster_account
Get account settings and usage info
get_workflow
Get details for a specific workflow
launch_phantom
Start a Phantom execution
list_containers
List all Phantom containers
list_phantoms
List all Phantom agents
list_workflows
List all automation workflows
Example Prompts for PhantomBuster in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with PhantomBuster immediately.
"List all Phantoms in my account and show their current status."
"Launch the 'LinkedIn Search Export' Phantom with ID '12345'."
"Show me the extracted data from the last run of Phantom 12345."
Troubleshooting PhantomBuster MCP Server with AutoGen
Common issues when connecting PhantomBuster to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"PhantomBuster + AutoGen FAQ
Common questions about integrating PhantomBuster MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect PhantomBuster with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PhantomBuster to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
