How do I find my PhantomBuster API Key?

In your PhantomBuster account, click on your name in the top right, go to **Org settings** or **Workspace settings**, and look for the **API Key** section.

Can I provide arguments when launching a Phantom?

Yes! The `launch_phantom` action accepts an optional `argument` field where you can provide a JSON string of parameters to override the default Phantom configuration.

How do I see the data extracted by a Phantom?

Use the `get_phantom_output` tool with the specific agent ID. It will return the results of the last successful execution of that Phantom.

PhantomBuster MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: PhantomBuster
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect PhantomBuster through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "phantombuster": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using PhantomBuster, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with PhantomBuster through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the PhantomBuster MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from PhantomBuster via MCP

Why Use LangChain with the PhantomBuster MCP Server

LangChain provides unique advantages when paired with PhantomBuster through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine PhantomBuster MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across PhantomBuster queries for multi-turn workflows

PhantomBuster + LangChain Use Cases

Practical scenarios where LangChain combined with the PhantomBuster MCP Server delivers measurable value.

RAG with live data: combine PhantomBuster tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query PhantomBuster, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain PhantomBuster tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every PhantomBuster tool call, measure latency, and optimize your agent's performance

PhantomBuster MCP Tools for LangChain (10)

These 10 tools become available when you connect PhantomBuster to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting PhantomBuster to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

PhantomBuster + LangChain FAQ

Common questions about integrating PhantomBuster MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.