nickpending/mcp-recon
by Various
Tellix is a conversational recon interface powered by httpx and LLMs. Just ask.
MCP
nickpending/mcp-recon
Added 1 June 2026
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
How to use
Install
docker build -t mcp/recon -f Dockerfile . Tools exposed
httpxasnmapdocker
Tested with
Claude Desktop
Example client config
"mcp-recon": {\n "command": "docker",\n "args": [\n "run",\n "--rm",\n "-i",\n "mcp/recon"\n ]\n} 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.
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
Pairs with
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