The Apify Model Context Protocol (MCP) Server serves as an interface for AI applications to integrate with Apify's library of Actors for efficient web scraping and automation tasks. Users can access this server through secure HTTPS endpoints or the standard input/output method for local integrations. The MCP framework additionally allows dynamic actor management, facilitating real-time addition and execution of various Actors to enhance the capabilities of AI agents. Key Points - The Apify MCP Server connects AI applications with Apify's library of Actors for real-time web scraping and automation. - Users can connect to the MCP Server via HTTPS with OAuth or through standard input/output methods for local setups. - Before using the MCP Server, users must have an Apify account, API token, and an MCP-compatible client. - The server allows for dynamic actor management, enabling AI agents to discover, add, and execute Actors as needed. - Users can interact with the MCP Server over Server-Sent Events (SSE) for message sending and response receiving. - Troubleshooting tips include verifying the API token, ensuring the server runs the latest version of the MCP library, and ensuring a suitable Node.js environment. - Users can utilize a web-based Tester MCP Client for an accessible alternative to integrate and test capabilities without local setup. https://docs.apify.com/platform/integrations/mcp https://github.com/apify/actors-mcp-server #Apify #MCP #actors #webscraping #automation #AIagents #dynamicactormanagement #serversentevents #SSE #nocode #lowcode #rapiddevelopment #TesterMCPClient #webautomation #apifyactors #cloudcomputing #python #nodejs #portkey #airtable

N8N Beginner Course from N8N official Youtube https://www.youtube.com/watch?v=4BVTkqbn_tY&ab_channel=n8n An introduction to automation highlights its importance for data-driven decisions, reducing human error, and improving efficiency. Key concepts include triggers, filtering, actions, and workflows. Mapping processes before automation is essential for feasibility and understanding. The course aims to equip beginners with foundational knowledge for building effective automation workflows. N8N Advanced Course from N8N official Youtube https://www.youtube.com/watch?v=TFTLMQLozCI&ab_channel=n8n This video introduces n8n's advanced course, focusing on complex data flows. It explains node execution order, how to split and merge branches using if and switch nodes, and the merge node's functionalities. Additionally, it covers the loop over items node for handling large data sets and API rate limits, enhancing workflow efficiency. Resources: ❔ Need help or want to discuss the course? Join the conversation on our forum: https://community.n8n.io/t/beginner-course-1-9-introduction-to-automation/48589 🛠 Workflow templates: https://n8n.io/workflows/ 📚 Documentation: https://docs.n8n.io/ #n8n #automation #workflowautomation #lowcode #nocode #integration #dataflows #ifnodes #switchnodes #mergenodes #loopoveritems #apilimits #zapier #make #automatetheworld

Ryan Carson is a five-time founder who has spent the past 20 years building, scaling, and selling startups. In this episode, he shares his playbook for using AI to build products, turning “vibe coding” into a structured and scalable approach that can replace full engineering teams. What you’ll learn: 1. A simple three-file system that transforms chaotic AI coding into a structured, reliable process 2. How to create AI-generated PRDs and task lists that actually work 3. A step-by-step workflow using Cursor to build features systematically 4. Why slowing down to provide proper context is the secret to speeding up your AI development 5. How to use model context protocols (MCPs) to extend your AI’s capabilities beyond just coding 6. Why founders can now build entire companies with minimal engineering teams and how Ryan is doing it himself https://youtu.be/fD4ktSkNCw4?si=cbVp__wJrmyEPObt https://www.ryancarson.com/about https://github.com/snarktank/ai-dev-tasks Tools referenced: • ChatGPT: https://chat.openai.com/ • Claude: https://claude.ai/ • Gemini 2.5 Pro: https://deepmind.google/models/gemini/pro/ • Repo Prompt: https://repoprompt.com/ • Task Master: https://github.com/eyaltoledano/claude-task-master/blob/main/docs/tutorial.md • Browserbase: https://browserbase.com/ • Stagehand: https://docs.stagehand.dev/integrations/mcp-server #AICoding #RyanCarson #VibeCoding #ChatGPT #Claude #Gemini2.5Pro #RepoPrompt #TaskMaster #Browserbase #Stagehand #Cursor #AIAgent #ProductDevelopment #NoCode #LowCode #EngineeringTeams #PRD #ModelContextProtocols #AIWorkflow #SoftwareDevelopment #AIDrivenDevelopment #ThreeFileSystem #StructuredCoding #AIScaling

A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 525+ workflow automation nodes. n8n-MCP is a Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. It enables AI models like Claude to understand and work with n8n's 525+ workflow automation nodes effectively. Main Function Points - Provides structured access to 528 n8n nodes with 99% coverage of node properties and 63.6% coverage of available actions - Includes 90% coverage of official n8n documentation, including 263 AI-capable nodes - Offers a range of tools for node discovery, configuration, validation, and workflow management - Supports multiple deployment options, including Docker, npx, local installation, and one-click cloud deployment https://youtu.be/5CccjiLLyaY?si=iMKzHb24xQSJ6SMZ https://www.n8n-mcp.com/ https://github.com/czlonkowski/n8n-mcp #n8nMCP #MCP #ModelContextProtocol #n8n #Claude #AIassistant #workflowautomation #nocode #lowcode #AIDevelopment #APIintegration #automation #Docker #npx #LangChain #Zapier #IFTTT

Agent.ai positions itself as the leading professional network for AI agents, offering a platform where professionals can build, discover, and utilize AI agents that effectively accomplish tasks. The marketplace showcases a growing selection of agents, with new additions every week, enhancing the versatility and utility of AI technology in various professional contexts. Key Points - Agent.ai is designed as a professional network specifically for AI agents. - The platform features a marketplace that lists a total of 1,685 AI agents. - Professionals can search and filter these agents to find suitable solutions for their needs. - New AI agents are added to the marketplace on a weekly basis. - Users can discover agents by utilizing specific tags for easier navigation. - The network aims to enable real work execution through the effective use of AI agents. - The platform promotes collaboration and integration of AI technology across different professions. https://agent.ai/

marketplace.agen.cy provides an overview of various AI agents, showcasing a range of partners and their specific capabilities, such as vacation planning and personal assistance. It highlights the integration of frameworks like AutoGen and LangChain to enhance agent functionalities, focusing on their diverse applications in productivity, customer service, and digital assistance. Additionally, the document illustrates the significance of these AI agents across various sectors and their potential to revolutionize tasks through automation and intelligent decision-making. https://marketplace.agen.cy/agents https://marketplace.agen.cy/home #AIagents #AutoGen #LangChain #marketplaceagency #AIassistants #vacationplanning #personalaides #automation #customerservice #digitalassistance #productivitytools #AIintegration

Awesome AI Agent Directories repository is a comprehensive list of the best AI agent directories available online. It includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. The project aims to help developers, researchers, and entrepreneurs discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem. It contains a comprehensive list of the best AI agent directories available online. This curated collection includes websites and GitHub repositories that feature top AI agents, frameworks, and tools. Whether you're a developer, researcher, or entrepreneur, this list helps you discover, evaluate, and integrate the most powerful AI agents and platforms in the ecosystem. https://github.com/alternbits/awesome-ai-agents-directories #AIagentdirectories #AIagents #AIframeworks #AItools #GitHub #alternbits #AwesomeAI #AIDiscovery #AIIntegration #OpenAI #Langchain #Agentverse #AIecosystem #AIresearch #AIDevelopment

"AI Landscape 2025" provides a comprehensive overview of various AI tools and agents, categorizing them into 14 distinct groups such as AI Agent Builders, Coding, and Productivity, among others. It outlines the number of available tools within each category, highlighting the expansive growth and diversification in the AI sector. The document also notes the pricing models for these AI tools, indicating options for free, paid, and hybrid pricing structures. Key Points - The document categorizes AI tools into 14 different groups including AI Agent Builders, Coding, and Productivity. - A total of 138 tools are dedicated to AI Agent Builders, demonstrating a significant focus on developing intelligent agents. - There are 94 tools available for coding, showcasing the increasing integration of AI in software development. - Productivity tools number 43, indicating a growing market for AI-driven efficiency solutions. - Categories like Finance and Marketing have 16 and 22 tools respectively, reflecting AI's penetration into business operations. - The document mentions different pricing structures: free, paid, and a combination of both for various tools. - A diverse range of applications is identified, from Customer Service (39 tools) to Digital Workers (41 tools), emphasizing the versatile uses of AI technologies. https://aiagentslist.com/ai-agents-map https://aiagentslist.com/mcp-servers #AILandscape2025 #AITools #AIAgents #AIAgentBuilders #AICodingTools #AIProuctivityTools #FinanceAI #MarketingAI #CustomerServiceAI #DigitalWorkers #AIpricing #FreeAI #PaidAI #HybridAI #GPTs #AutoGPT #BabyAGI #AIgrowth #AIadoption

Dia is an AI-powered browser developed by The Browser Company, designed to integrate AI functionalities directly into the browsing experience. Early access users suggest Dia could replace Chrome. The browser aims to enhance user interaction through features such as chatting with tabs and writing in your own voice. It is positioned as a potential alternative to existing browsers like Chrome and Arc, with a focus on privacy and AI-driven efficiency. https://www.diabrowser.com/ #diabrowser #thebrowsercompany #ai #aibrowser #chrome #arcbrowser #bravebrowser #privacybrowser #webbrowser #aiintegration #browserextension #browserai #webchat #aichat #webwriting #aiwriting #webdevelopment #productivitytools #digitaltools #aiassistants

PromptPanda is an AI-powered prompt management system aimed at simplifying and improving the use of AI prompts. It offers features suitable for small businesses, startups, and personal use, including a free tier. The system helps users manage prompts, preventing loss and enabling efficient team collaboration through prompt variables and OpenAI integration. https://www.promptpanda.io/ #PromptPanda #AIpromptManagement #OpenAI #promptengineering #promptoptimization #promptlibrary #promptvariables #teamprompts #promptsharing #AItools #productivitytools #JasperAI #CopyAI #promptmanagement #promptorganization

PLINY THE PROMPTER Discusses various advancements in the field of autonomous red teaming, specifically focusing on jailbreak techniques for language models. It highlights the contributions of a prominent figure, Pliny the Prompter, in developing effective jailbreak prompts and attack strategies. Additionally, it addresses ongoing research aimed at enhancing defenses against these vulnerabilities, emphasizing the importance of understanding and mitigating jailbreak risks through comprehensive studies and innovative methodologies. Key Points The document introduces "AutoRedTeamer," emphasizing its capacity for lifelong attack integration in red teaming. "Pliny the Prompter" is credited with devising a highly effective jailbreak prompt that deepens the understanding of language model vulnerabilities. The L1B3RT4S project demonstrates manual attack methods using leetspeak encoding, contributing to broader jailbreak techniques. Current research on bijection learning attacks presents competitive alternatives to established jailbreak methods pioneered by Pliny. The "DeepSeek-R1" project illustrates how behavior modification can be tailored through mixtures of tunable experts, drawing on existing jailbreak strategies. Research on constitutional classifiers is focused on defending against universal jailbreaks by leveraging insights from extensive red teaming exercises. The RoboPAIR platform investigates jailbreaking within LLM-controlled robotic systems, expanding the application of prompt-based attacks beyond traditional language models. https://pliny.gg/ #PlinyThePrompter #AutoRedTeamer #L1B3RT4S #DeepSeekR1 #RoboPAIR #JailbreakLLM #AISecurity #RedTeaming #PromptEngineering #LanguageModels #LLMVulnerability #AIJailbreak #ConstitutionalAI #AdversarialAI #BijectionLearning #AISafety #LLMSecurity #AIResearch

Am sure you thinking of cost saving/cutting costs when using Claude Code here is a tool to consider (thanks @sciencedegen): Zen MCP is a Model Context Protocol server that orchestrates multiple AI models as a development team, allowing Claude to seamlessly collaborate with different models like Gemini, O3, and others to enhance code analysis, problem-solving, and collaborative development. It provides guided workflows, multiple AI perspectives, automatic model selection, and advanced features like context revival, large prompt handling, and web search integration. https://github.com/BeehiveInnovations/zen-mcp-server #zenmcp #claude #gemini #o3 #modelcontextprotocol #aimodelcollaboration #aicoding #aiteam #codedevelopment #promptengineering #costsavings #github #codeanalysis #problem solving