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nickpending/mcp-recon

nickpending/mcp-recon

🏎️ 🏠 - Conversational recon with httpx and asnmap: domain analysis, security header inspection, certificate…
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官方说明🏎️ 🏠 - Conversational recon interface and MCP server powered by httpx and asnmap. Supports various reconnaissance levels for domain analysis, security header inspection, certificate analysis, and ASN
配置模板(请按你的客户端调整)
claude mcp add mcp-recon -- npx -y mcp-recon
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
31 ★ · nickpending/mcp-recon · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 13 个来源列出
评分构成
综合分 1,303 · 31 ★ · 13 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 nickpending/mcp-recon;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

mcp-recon

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

> **mcp-recon** (formerly Tellix) is a conversational reconnaissance interface and MCP server powered by httpx and asnmap. Just ask.
Overview
**mcp-recon** bridges the gap between natural language and HTTP infrastructure analysis. It exposes reconnaissance tools through the Model Context Protocol (MCP), allowing you to perform web domain reconnaissance via any compatible AI interface, such as Claude Desktop.
Features
- **Conversational Commands**: Execute reconnaissance through simple text prompts
- **MCP Server**: Integrates with Claude Desktop or other MCP-compatible tools
- **Multiple Analysis Modes**: Choose from lite and full reconnaissance levels
- **Standalone ASN Lookup**: Query IPs, ASNs, or organizations directly
- **Docker Ready**: Run in an isolated container for security and portability
- **Powered by httpx**: Utilizes ProjectDiscovery's robust reconnaissance tools
- **Bug Workarounds**: Automatically handles httpx's stdin/stdout leakage issue
- **MCP Prompts**: Includes predefined prompts like http_lite_scan and katana_command_generator for streamlined operations
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open standard developed by Anthropic that enables AI assistants to interact with external tools, systems, and data sources. MCP provides a standardized interface for AI models to access and execute functions, retrieve resources, and utilize prompts, facilitating seamless integration between AI applications and various software environments.
MCP Prompts in mcp-recon
In MCP, a **prompt** is a predefined template that guides AI assistants in performing specific tasks. Prompts can accept dynamic arguments, include context from resources, and chain multiple interactions, enabling structured and efficient workflows.
**mcp-recon** includes the following prompts:
- **http_lite_scan**: Initiates a quick HTTP scan for basic information about specified targets.
- **katana_command_generator**: Generates optimized Katana crawl commands based on reconnaissance goals and desired thoroughness.
Quick Start Guide
**mcp-recon** provides three main reconnaissance tools:
1. Quick/Lightweight Reconnaissance (http_lite_recon)
Fast, lightweight HTTP fingerprinting that provides essential information with minimal overhead.
**Example:**
2. Full Reconnaissance (http_full_recon)
Comprehensive metadata collection including page previews, headers, certificates, and technology detection.
**Example:**
3. ASN Lookup (asn_lookup)
Standalone lookup of IPs, ASNs, or organization names using ProjectDiscovery's asnmap library.
**Example:**
Installation
**mcp-recon** is designed to run as a Docker container to be used with Claude Desktop via the MCP protocol.
MCP Configuration
**mcp-recon** runs as a standalone MCP server. Add it to your MCP configuration like so:
Using an .env file:
Your .env should contain:
Troubleshooting
**No Results Returned**:
- Domain is publicly accessible
来源
awesome · https://github.com/nickpending/mcp-recon
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