Merge pull request #112 from zonashi/main

更新文档：添加API文档到Readme并更新论文

Author: aigsec

README.md

@@ -52,6 +52,7 @@
 - [🖼️ Showcase](#-showcase)
 - [🚀 Quick Start](#-quick-start)
 - [📖 User Guide](#-user-guide)
+- [🔧 API Documentation](#-api-documentation)
 - [📝 Contribution Guide](#-contribution-guide)
 - [🙏 Acknowledgements](#-acknowledgements)
 - [💬 Join the Community](#-join-the-community)
@@ -69,6 +70,7 @@
 | **MCP Server Scan** | Powered by AI Agent, Detects 9 major categories of MCP security risks, Supports source code/remote URL scanning. |
 | **Jailbreak Evaluation** | Rapidly assesses Prompt security risks, Includes multiple curated jailbreak evaluation datasets, Cross-model security performance comparison. |
 | **Easy-to-use Web Interface​** | Modern, user-friendly web UI for seamless operation, One-click scanning with real-time progress tracking, Comprehensive Analysis Reports. |
+| **Convenient API** | Provides complete interface documentation and Swagger specifications for easier integration |
 | **Multi-Language Support** | Chinese and English interface, Localized documentation and help. |
 | **Cross-Platform Compatibility** | Linux, macOS, and Windows support, Docker-based deployment. |
 | **Free & Open Source​** | Offered​ completely free of charge ​under​ the MIT license. |
@@ -143,6 +145,16 @@ For more detailed FAQs and troubleshooting guides, visit our [documentation](htt
 <br />
 <br>
 
+## 🔧 API Documentation
+
+A.I.G provides a comprehensive set of task creation APIs that support AI infra scan, MCP Server Scan, and Jailbreak Evaluation capabilities.
+
+After the project is running, visit `http://localhost:8088/docs/index.html` to view the complete API documentation.
+
+For detailed API usage instructions, parameter descriptions, and complete example code, please refer to the [Complete API Documentation](./api.md).
+<br />
+<br>
+
 ## 📝 Contribution Guide
 
 The extensible plugin framework​​ serves as A.I.G's architectural cornerstone, inviting community innovation through Plugin and Feature contributions.​
@@ -269,7 +281,8 @@ We are deeply grateful to the research teams who have used A.I.G in their academ
 [1] Yongjian Guo, Puzhuo Liu, et al. **"Systematic Analysis of MCP Security."** arXiv preprint arXiv:2508.12538 (2025). [[pdf]](https://arxiv.org/abs/2508.12538)  
 [2] Zexin Wang, Jingjing Li, et al. **"A Survey on AgentOps: Categorization, Challenges, and Future Directions."** arXiv preprint arXiv:2508.02121 (2025). [[pdf]](https://arxiv.org/abs/2508.02121)  
 [3] Yixuan Yang, Daoyuan Wu, Yufan Chen. **"MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols."** arXiv preprint arXiv:2508.13220 (2025). [[pdf]](https://arxiv.org/abs/2508.13220)  
-[4] Ping He, Changjiang Li, et al. **"Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools."** arXiv preprint arXiv:2509.21011 (2025). [[pdf]](https://arxiv.org/abs/2509.21011)
+[4] Ping He, Changjiang Li, et al. **"Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools."** arXiv preprint arXiv:2509.21011 (2025). [[pdf]](https://arxiv.org/abs/2509.21011)  
+[5] Weibo Zhao, Jiahao Liu, Bonan Ruan et al. **"When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation."** arXiv preprint arXiv:2509.24272v1 (2025). [[pdf]](http://arxiv.org/abs/2509.24272v1)
 
 📧 If you have used A.I.G in your research, we would love to hear from you! [Contact us here](#-join-the-community).
 <br>

README_ZH.md

@@ -52,6 +52,7 @@
 - [🖼️ 功能展示](#-功能展示)
 - [🚀 快速开始](#-快速开始)
 - [📖 用户指南](#-用户指南)
+- [🔧 API文档](#-api文档)
 - [📝 贡献指南](#-贡献指南)
 - [🙏 致谢](#-致谢)
 - [💬 加入社区](#-加入社区)
@@ -69,6 +70,7 @@
 | **MCP Server风险检测** | 基于AI Agent驱动，检测9大类MCP安全风险，支持源代码/远程URL扫描 |
 | **大模型安全体检** | 快速评估Prompt安全风险，内置多个精选越狱评估数据集，跨模型安全性能对比 |
 | **直观的Web界面** | 现代化、用户友好的Web UI，一键扫描实时进度跟踪，全面的结果分析报告 |
+| **便捷的API** | 提供完整的接口文档和Swagger规范，更方便集成 |
 | **多语言支持** | 拥有中英文界面，本地化帮助文档 |
 | **跨平台兼容** | 支持Linux、macOS和Windows，基于Docker部署 |
 | **免费且MIT开源** | 完全免费使用，MIT开源协议 |
@@ -129,7 +131,7 @@ docker-compose up -d
 ```
 
 服务启动后，您可以通过以下地址访问A.I.G的Web界面：
-`http://0.0.0.0:8088`
+`http://localhost:8088`
 <br><br>
 
 注意: AI-Infra-Guard项目定位于企业或个人在内部使用的AI安全风险平台，暂无鉴权认证机制,请勿在公网中部署使用。
@@ -142,6 +144,16 @@ docker-compose up -d
 <br />
 <br>
 
+## 🔧 API文档
+
+A.I.G 提供了一套创建任务相关的API接口，支持AI基础设施扫描、MCP安全扫描和大模型安全体检功能。
+
+项目运行后访问 `http://localhost:8088/docs/index.html` 可查看完整的API文档
+
+详细的API使用说明、参数说明和完整示例代码，请查看 [完整API文档](./api_zh.md)。
+<br />
+<br>
+
 ## 📝 贡献指南
 
 A.I.G 的核心能力之一就是其丰富且可快速配置的插件系统。我们欢迎社区贡献高质量的插件和功能。
@@ -259,7 +271,8 @@ A.I.G 的核心能力之一就是其丰富且可快速配置的插件系统。
 [1] Yongjian Guo, Puzhuo Liu, et al. **"Systematic Analysis of MCP Security."** arXiv preprint arXiv:2508.12538 (2025). [[pdf]](https://arxiv.org/abs/2508.12538)  
 [2] Zexin Wang, Jingjing Li, et al. **"A Survey on AgentOps: Categorization, Challenges, and Future Directions."** arXiv preprint arXiv:2508.02121 (2025). [[pdf]](https://arxiv.org/abs/2508.02121)  
 [3] Yixuan Yang, Daoyuan Wu, Yufan Chen. **"MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols."** arXiv preprint arXiv:2508.13220 (2025). [[pdf]](https://arxiv.org/abs/2508.13220)  
-[4] Ping He, Changjiang Li, et al. **"Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools."** arXiv preprint arXiv:2509.21011 (2025). [[pdf]](https://arxiv.org/abs/2509.21011)
+[4] Ping He, Changjiang Li, et al. **"Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools."** arXiv preprint arXiv:2509.21011 (2025). [[pdf]](https://arxiv.org/abs/2509.21011)  
+[5] Weibo Zhao, Jiahao Liu, Bonan Ruan et al. **"When MCP Servers Attack: Taxonomy, Feasibility, and Mitigation."** arXiv preprint arXiv:2509.24272v1 (2025). [[pdf]](http://arxiv.org/abs/2509.24272v1)
 
 📧 如果您在研究中使用了A.I.G，请联系我们，让更多人看到您的研究！
 <br>