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Bio-Agents MCP

MCP servers for Protein Data Bank, ChemBL, and other life science data (WIP), with Ollama client for local testing.

🤖 MCP Server Terminator Test Facility

A testing ground for the MCP server terminator. Hasta la vista, bugs!

MCP Tools Project

Python-based MCP toolset with Echo server for testing and Browser Automation server using browser-use and LangChain for AI-driven web interactions

mcp-browser-tester

Allow MCP server to operate browser for testing purposes

Web Application Penetration Testing MCP

Security Operations Multi-Tool Platform (MCP)

All-in-one security testing toolbox that brings together popular open source tools through a single MCP interface. Connected to an AI agent, it enables tasks like pentesting, bug bounty hunting, threa

🚀 Pentest MCP: A Comprehensive Tool for Professional Penetration Testing

NOT for educational purposes: An MCP server for professional penetration testers including nmap, go/dirbuster, nikto, JtR, wordlist building, and more.

Pentest MCP: Professional Penetration Testing Toolkit

NOT for educational purposes: An MCP server for professional penetration testers including nmap, go/dirbuster, nikto, JtR, wordlist building, and more.

ai-web-automation

Creating ai-web-automation project for implementing use of AI prompts and MCP server in automation testing

Testing-of-FakePixelPe-Mcpe-Server

I am Abinanda and I am Main Head of The project so I am Trying to make a Server like Hypixel in Mcpe With Private and Public+Paid Plugins

Lovart

Lovart 全球首个设计 Agent 体验 Lovart 的三个特点： 一、全链路设计和执行，一句话搞定 以前的文生图工具，它们所提供的任务是“生成图片”这一环。 而设计 Agent，则像一位“设计执行官”，覆盖从创意拆解到专业交付的整个视觉流程。 从意图拆解 → 任务链 → 最后成品，一句话全搞定。 单次可以执行上

DreamFit

DreamFit是什么 DreamFit是字节跳动团队联合清华大学深圳国际研究生院、中山大学深圳校区推出的虚拟试衣框架，专门用在轻量级服装为中心的人类图像生成。框架能显著减少模型复杂度和训练成本，基于优化文本提示和特征融合，提高生成图像的质量和一致性。DreamFit能泛化到各种服装、风格和提示指令，生成高质量的人物图像。DreamFit支持与社区控制插件的无缝集成，降低使用门槛。 Dre

ViLAMP

ViLAMP（VIdeo-LAnguage Model with Mixed Precision）是蚂蚁集团和中国人民大学联合推出的视觉语言模型，专门用在高效处理长视频内容。基于混合精度策略，对视频中的关键帧保持高精度分析，显著降低计算成本提高处理效率。ViLAMP在多个视频理解基准测试中表现出色，在长视频理解任务中，展现出显著优势。ViLAMP能在单张A100 GPU上处理长达1万帧（约3小时）