nickpending mcp censys

WHAT IT CONNECTS

nickpending mcp censys 为 AI Agent 提供什么

• **Conversational Queries**: Natural language access to Censys intel
• **Domain and IP Lookup**: Get DNS names, ASN, services, and TLS context
• **New FQDN Discovery**: Find recently seen subdomains from DNS and cert data
• **MCP-Compatible Tools**: Use directly from Claude Desktop
• **MCP Prompt Templates**: ✨ Built-in structured guidance templates that instruct Claude exactly how to analyze and present domain data ([learn more about MCP Prompts](https://modelcontextprotocol.io/docs/concepts/prompts))
• **Dockerized with .env support**: Secure, repeatable usage
• **Lightweight API Client**: Based on Censys Python SDK
• **lookup_domain** - Get comprehensive IPs, DNS names, services, and ASN info for a domain (aggregates data across all results) with **built-in MCP prompts** that guide Claude to organize findings into meaningful sections
• **lookup_domain_detailed** - Return a sample of 3 individual host records with services, ASN, geo, and TLS data, along with information about total available records and **structured MCP prompts** for comprehensive infrastructure analysis
• **lookup_ip** - Enrich an IP with DNS, ASN, service info, and TLS metadata
• **new_fqdns** - Find recently observed FQDNs for a domain (via DNS and certs)
• **host_services** - List open ports and service banners for a given domain or IP
• Make sure the target is publicly visible
• Check your API key and rate limits
• DNS-based results rely on recent Censys observations
• Scan a single domain or IP at a time for faster results
• Use lookup_domain or lookup_ip for focused data
• If you experience errors with result formatting, ensure you're using the latest version
• The tools handle pagination automatically - lookup_domain collects all available results, while lookup_domain_detailed shows a limited sample
• For domains with many results, queries may take longer to complete due to multiple API requests
• new_fqdns does not represent true "first seen" FQDNs; it filters by last observed timestamps
• This tool is intended for conversational, single-target analysis (not batch scans)
• lookup_domain_detailed only shows 3 records to keep responses manageable, even when more are available
• Censys Python SDK (https://github.com/censys/censys-python)
• Model Context Protocol (https://modelcontextprotocol.io/)
• Claude Desktop (https://www.anthropic.com)