asaotomo/FofaMap — 证据驱动的 FOFA 资产测绘智能体：自然语言侦察、AI 反思、CLI / MCP / Skill / REST API，以及经人工审批的 Nuclei 扫描。

Description and use

Here's a brief summary and analysis of the open-source project asaotomo/FofaMap:

**Summary:** FofaMap is an evidence-driven FOFA asset mapping smart agent that leverages natural language detection, AI reflection, and integration with various tools and APIs, including CLI, MCP, Skill, and REST API. It also offers approved Nuclei scans with human review.

**Value Proposition:** FofaMap connects AI assistants to real tools and data through a standard protocol, enabling seamless integration and automation. This opens up possibilities for organizations to standardize integrations, ship Model Context Protocol servers, and connect AI agents to tools, making it a valuable tool for those in the AI/ML and security spaces.

**Practical Adoption Path:** To adopt FofaMap, users can start by evaluating its straightforward integration signals, such as API/SDK/CLI, language metadata, or focused topics. They can then explore its features, such as natural language detection and AI reflection, and integrate it with their existing tools and systems. With its high production readiness, users can confidently pilot FofaMap in their production environments.

**Production Readiness:** With a high production readiness score, FofaMap is suitable for serious pilots. Its recent activity, adoption, and ecosystem

Problem

asaotomo/FofaMap helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

证据驱动的 FOFA 资产测绘智能体：自然语言侦察、AI 反思、CLI / MCP / Skill / REST API，以及经人工审批的 Nuclei 扫描。

Source