Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@globodai-mcp-phantombuster List all my PhantomBuster agents"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol (MCP) server that provides tools to interact with the PhantomBuster automation platform. Manage your agents (phantoms), monitor executions, and retrieve results — all through MCP-compatible AI assistants.
🤖 Agent Management — List, get, launch, stop, and delete agents
📦 Container Monitoring — List and inspect execution containers
📊 Results Retrieval — Get agent output and structured result objects
🔒 Secure — API key via environment variable, never hardcoded
Related MCP server: MCP Server Demo
No installation required:
npx globodai-mcp-phantombusternpm install -g globodai-mcp-phantombuster
mcp-phantombusterSet your PhantomBuster API key:
export PHANTOMBUSTER_API_KEY="YOUR_API_KEY"📝 Get your API key from PhantomBuster Workspace Settings
Add to your claude_desktop_config.json:
{
"mcpServers": {
"phantombuster": {
"command": "npx",
"args": ["-y", "globodai-mcp-phantombuster"],
"env": {
"PHANTOMBUSTER_API_KEY": "YOUR_API_KEY"
}
}
}
}Add to your Cursor MCP settings:
{
"mcpServers": {
"phantombuster": {
"command": "npx",
"args": ["-y", "globodai-mcp-phantombuster"],
"env": {
"PHANTOMBUSTER_API_KEY": "YOUR_API_KEY"
}
}
}
}Tool | Description |
| List all agents in your organization |
| Get details of a specific agent by ID |
| Launch an agent (add to queue), with optional arguments |
| Stop a running agent |
| Permanently delete an agent |
Tool | Description |
| List all containers (runs) for an agent |
| Get details of a specific container |
Tool | Description |
| Get console output from the latest execution |
| Get structured result data from a container |
"List all my PhantomBuster agents"
"Launch PhantomBuster agent 12345 with argument: {"search": "AI startups"}"
"What's the output of agent 12345? Is it still running?"
"Get the results from container abc123"
# Clone the repository
git clone https://github.com/globodai-group/mcp-phantombuster.git
cd mcp-phantombuster
# Install dependencies
npm install
# Run in development mode
PHANTOMBUSTER_API_KEY="YOUR_API_KEY" npm run dev
# Build
npm run build
# Type check
npm run lintThis MCP server wraps the PhantomBuster API v2:
Base URL: https://api.phantombuster.com/api/v2
Auth: X-Phantombuster-Key header
Contributions are welcome! Please open an issue or submit a pull request.
Built with ❤️ by GlobodAI
This server cannot be deployed
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