nickpending/mcp-recon

Overview

A conversational reconnaissance tool that combines httpx and large language models to let users perform security recon through natural language queries. Users ask questions and the tool leverages LLMs to interpret requests and execute httpx commands for HTTP probing and information gathering.

Best for

Best for
Security researchers and penetration testers who want a conversational shortcut for HTTP-based reconnaissance

Use cases

• Ask natural language questions about target infrastructure during penetration testing
• Automate initial reconnaissance steps without writing complex command-line arguments
• Quickly probe endpoints and gather HTTP response data for security analysis

Notes

A conversational reconnaissance tool that combines httpx and large language models to let users perform security recon through natural language queries. Users ask questions and the tool leverages LLMs to interpret requests and execute httpx commands for HTTP probing and information gathering.

27 stars on GitHub. Last updated 2025-04-22.

Use cases

• Ask natural language questions about target infrastructure during penetration testing
• Automate initial reconnaissance steps without writing complex command-line arguments
• Quickly probe endpoints and gather HTTP response data for security analysis

Pros

• Natural language interface lowers the barrier for running recon commands
• Combines the speed of httpx with LLM-driven reasoning for flexible queries
• Simple ‘just ask’ workflow reduces context switching during security assessments

Cons

• Low GitHub star count (27) suggests limited community validation and stability
• Dependent on LLM reliability and httpx capabilities, which may misinterpret complex queries
• Niche use case may lack broad documentation or examples for diverse recon scenarios

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.