#python #csharp #java #javascript #javascript_applications #mcp #mcp_client #mcp_security #mcp_server #model #model_context_protocol #modelcontextprotocol #python #typescript

You can learn the Model Context Protocol (MCP), a new standard for connecting AI models with applications, through a free, open-source curriculum that includes hands-on coding examples in C#, Java, JavaScript, Python, and TypeScript. The curriculum covers basics, security, building servers and clients, advanced topics, and best practices, with multi-language support and community help via Discord. You can also join MCP Dev Days, a free online event for deep technical learning and networking. This resource helps you quickly gain practical skills to build and integrate AI tools effectively, boosting your development capabilities in AI workflows.

https://github.com/microsoft/mcp-for-beginners

#python #aws #mcp #mcp_client #mcp_clients #mcp_host #mcp_server #mcp_servers #mcp_tools #modelcontextprotocol

AWS MCP Servers use the Model Context Protocol (MCP), an open standard that connects AI tools with AWS data and services in a simple, secure way. These servers improve AI responses by providing up-to-date AWS documentation, best practices, and workflow automation for cloud development, infrastructure, and operations. You can run MCP servers locally for development or use AWS-managed remote servers for easy access and scalability. MCP servers support many AWS services like Lambda, DynamoDB, EKS, and more, helping you build, manage, and optimize AWS resources efficiently with AI assistance. Installation is easy with one-click options for popular tools like VS Code and Cursor. This makes cloud development faster, more accurate, and cost-effective.

https://github.com/awslabs/mcp

#python #agent #ai #ai_coding #claude #claude_code #language_server #llms #mcp_server #programming #vibe_coding

Serena is a free, open-source toolkit that turns large language models (LLMs) into powerful coding agents able to work directly on your codebase with IDE-like precision. It uses semantic code analysis to understand code structure and symbols, enabling efficient code search and editing without reading entire files. Serena supports many programming languages and integrates flexibly with various LLMs and development environments via the Model Context Protocol (MCP). This means you can automate complex coding tasks, improve productivity, and reduce costs without subscriptions, making your coding workflow faster and smarter.

https://github.com/oraios/serena

#python #agents #ai #ai_agents #api #developer_tools #discord #function_calling #integration #llm #mcp #mcp_client #mcp_server #oauth2 #open_source

Klavis AI helps developers connect AI tools to other services like GitHub, Gmail, and Slack easily. It offers hosted servers that handle authentication and client code automatically, making it simpler to integrate AI with various platforms. This saves time and effort by eliminating the need for custom authentication management and client library maintenance. Users can quickly set up and scale their AI applications without worrying about complex integrations, making it easier to deploy AI-powered workflows securely and efficiently.

https://github.com/Klavis-AI/klavis

#typescript #mcp #mcp_server #n8n #workflows

n8n-MCP is a tool that connects AI assistants like Claude to the n8n workflow automation platform, giving AI deep knowledge of over 500 n8n nodes, their properties, operations, and documentation. It helps you quickly find, configure, and validate workflow templates or build workflows from scratch with real-world examples and smart filtering. You can deploy it easily via npx, Docker, or cloud services. This saves you time, reduces errors, and boosts confidence by letting AI assist in designing and managing complex automations safely, as you test changes before applying them to production. It makes building and maintaining workflows faster and more reliable.

https://github.com/czlonkowski/n8n-mcp

#python #data_analysis #dingtalk_robot #docker #feishu_robot #hot_news #mail #mcp #mcp_server #news #ntfy #python #telegram_bot #trending_topics #wechat_robot

TrendRadar is a lightweight, easy-to-deploy tool that gathers trending topics from 11+ major platforms like Zhihu, Douyin, and Baidu in just 30 seconds. It lets you set custom keywords to filter only news you care about, eliminating information overload. The tool offers three smart notification modes—daily summaries, current rankings, or incremental alerts—and supports multiple channels including WeChat Work, Feishu, DingTalk, Telegram, and email. You can customize how trends are ranked using a personalized algorithm that weighs ranking position, frequency, and hotness. With GitHub Pages for web reports, Docker support, and AI-powered analysis through MCP protocol, TrendRadar transforms scattered platform algorithms into one unified, user-controlled news feed tailored to your interests.

https://github.com/sansan0/TrendRadar

#typescript #browser #chrome #chrome_devtools #debugging #devtools #mcp #mcp_server #puppeteer

Chrome DevTools MCP lets your AI coding tools like Gemini, Claude, or Cursor control a live Chrome browser for automation, debugging, and performance checks. Install it easily with npx chrome-devtools-mcp@latest in your MCP config, then prompt "Check performance of a site" to auto-record traces, take screenshots, analyze networks, and fix issues reliably. This benefits you by making AI smarter at web coding—verifying changes in real-time, spotting bugs fast, and boosting site speed without manual work.

https://github.com/ChromeDevTools/chrome-devtools-mcp

#python #ai #ai_agents #ai_coding #claude_code_plugin #claude_code_plugins #claude_code_plugins_marketplace #claude_marketplace #claude_plugin #claude_skills #docs #documentation #mcp #mcp_server #postgres #postgresql #skills

pg-aiguide helps AI coding tools create better PostgreSQL code with semantic search of official docs, best-practice skills for schemas/indexes, and extension info like TimescaleDB. Install it free as a public MCP server or Claude plugin in tools like Cursor/VS Code for one-click setup. It fixes AI's weak spots—outdated code, missing constraints (4x more), indexes (55% more), and modern PG17 features—producing robust, fast, maintainable schemas that save you debugging time and production fixes.

https://github.com/timescale/pg-aiguide

#python #adb #agents #ai #android #appium #automation #dynamic_analysis #frida #magisk #mcp #mcp_server #mobile_security #pentesting #remote_control #reverse_engineering #security #uiautomation #uiautomator2 #workflow #xposed

FIRERPA is a powerful Android automation tool that runs on-device with root access, works on versions 6.0 to 16, and offers low-latency remote desktop, 160+ APIs, Python SDK, and AI integration for tasks like testing, data collection, and forensics. It needs no extra setup, stays stable for large-scale use, and beats other tools in compatibility. You benefit by automating mobile tasks quickly, saving time on development and monitoring, with easy visual control for reliable results.

https://github.com/firerpa/lamda

#javascript #agentic_ai #agentic_engineering #agentic_framework #agentic_rag #agentic_workflow #ai_assistant #ai_tools #anthropic_claude #autonomous_agents #claude_code #codex #huggingface #jules #mcp_server #model_context_protocol #multi_agent #multi_agent_systems #npx #swarm #swarm_intelligence

Claude-Flow v2.7 is an enterprise AI platform with hive-mind swarms, 25 natural language skills, 100+ tools, and AgentDB integration for 96x-164x faster semantic search and 4-32x less memory use. Install via `npx claude-flow@alpha init` after Claude Code, then use commands like `swarm "build API"` for quick tasks or hive-mind for projects. It boosts your coding speed with 84.8% problem-solving rate, automation, GitHub tools, and persistent memory—saving you hours on complex development.

https://github.com/ruvnet/claude-flow