Which integrations are available for this server?

Provides SpiderFoot OSINT scanning capabilities through a [Python](/mcp/servers/integrations/python)-based MCP server, enabling comprehensive reconnaissance, investigation, and footprinting operations with scan management, result retrieval, and export functionality.

SpiderFoot MCP Server

A Model Context Protocol (MCP) server that provides SpiderFoot OSINT automation capabilities to AI assistants and other MCP clients.

Installation

pip install spiderfoot-mcp

Related MCP server: sysauto Ask MCP Server

Configuration

Set the following environment variables or create a .env file:

SPIDERFOOT_URL=http://localhost:5001 SPIDERFOOT_USERNAME=admin SPIDERFOOT_PASSWORD=your_password

Usage

As MCP Server

Start the MCP server:

spiderfoot-mcp

The server will expose SpiderFoot functionality as MCP tools that can be used by AI assistants.

Available Tools

The MCP server provides the following tools:

start_scan: Start a new SpiderFoot scan
get_scan_status: Get the current status of a scan
list_scans: List all scans on the server
stop_scan: Stop a running scan
delete_scan: Delete a scan and its data
get_scan_results: Get results from a scan
get_scan_summary: Get a summary of scan results
wait_for_scan_completion: Wait for a scan to complete
export_scan_results: Export scan results in various formats
get_available_modules: Get list of available SpiderFoot modules
search_scan_results: Search across scan results
get_scan_log: Get log entries for a scan
get_active_scans_summary: Get summary of tracked scans
ping: Test connectivity to SpiderFoot server

MCP Client Configuration

To use this server with Claude Desktop or other MCP clients, add the following to your MCP configuration:

{ "mcpServers": { "spiderfoot": { "command": "spiderfoot-mcp", "env": { "SPIDERFOOT_URL": "http://localhost:5001", "SPIDERFOOT_USERNAME": "admin", "SPIDERFOOT_PASSWORD": "your_password" } } } }