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MCP Servers
A Model Context Protocol (MCP) server for read-only Linux system administration, diagnostics, and troubleshooting on RHEL-based systems.
A powerful agent framework with enhanced capabilities including browser automation, code execution, MCP tool support, and deep research. for superior performance and functionality.
3D & AR SDK for Android (Jetpack Compose + Filament), iOS (SwiftUI + RealityKit), and Web. AI-first: llms.txt, MCP server, Copilot/Cursor rules. The only Compose-native 3D library.
A tool to convert OpenAPI specifications to MCP (Model Context Protocol) server configurations.
A collection of Model Context Protocol (MCP) servers, clients and developer tools by IBM.
Nova-Proximity is a MCP and Agent Skills security scanner powered with NOVA
This server requires a client that supports Streamable HTTP (not SSE). There are a few MCP clients that currently support Streamable HTTP including the MCP Inspector.
This is a POC of how you can build an MCP servers on top of Uber Eats
Burp Suite extension that adds built-in MCP tooling, AI-assisted analysis, privacy controls, passive and active scanning and more
An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.
This README only covers basic development guide. For full documentation and tutorials on ACI.dev MCP servers please visit aci.dev docs.
DEEPPOWERS is a Fully Homomorphic Encryption (FHE) collaboration framework built for MCP (Model Context Protocol), aiming to provide end-to-end privacy protection and highly efficient computation for...
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!