PhantomBuster MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect PhantomBuster through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="PhantomBuster Assistant",
instructions=(
"You help users interact with PhantomBuster. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from PhantomBuster"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from PhantomBuster through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries PhantomBuster, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the PhantomBuster MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from PhantomBuster
Why Use OpenAI Agents SDK with the PhantomBuster MCP Server
OpenAI Agents SDK provides unique advantages when paired with PhantomBuster through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
PhantomBuster + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the PhantomBuster MCP Server delivers measurable value.
Automated workflows: build agents that query PhantomBuster, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries PhantomBuster, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through PhantomBuster tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query PhantomBuster to resolve tickets, look up records, and update statuses without human intervention
PhantomBuster MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect PhantomBuster to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting PhantomBuster to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
PhantomBuster + OpenAI Agents SDK FAQ
Common questions about integrating PhantomBuster MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
