We introduce a groundbreaking multi-agent system for web automation that suggests that agent cardinality (the number of agents working in concert) could represent a new scaling dimension in AI, opening exciting directions for future research and applications. Our approach is directly inspired by the coordination and specialization strategies used by effective human teams. By translating human organizational principles into novel computational techniques, our system achieves state-of-the-art performance on the Mind2Web benchmark, significantly outperforming leading systems such as OpenAI’s Operator and Anthropic’s Computer Use. https://getinvisible.com/articles/human-inspired-agent-design-in-web-automation

MCP clients are shaking up the way we interact with AI agents, and This New MCP Client Lets You Integrate So Many MCP Servers. This video dives into everything from a basic MCP tutorial to advanced integrations using various MCP servers. Whether you’re running a file system MCP server, a Python MCP server, or even a Cursor MCP server, OpenMCP has you covered. We’ll also explore niche setups like Claude MCP, Anthropic MCP, and setups that utilize the model context protocol—be it Anthropic model context protocol or Claude model context protocol. Resources & Links: 🔗 OpenMCP GitHub: https://github.com/CopilotKit/open-mc... 🔗 Composio.dev (MCP Server Library): https://mcp.composio.dev/ 🔗 Notion Guide (Documentation): https://composio.notion.site/Cursor-M... Along the way, you’ll learn how to connect multiple AI agents, including cutting-edge solutions like the model context protocol AI agent and MCP AI agent. Plus, we’ll chat about LLM tech, integrate Cursor AI with traditional setups, and even throw in some playwright automation tips for streamlined workflows. In this video, I cover: ✅ What MCP and model context protocol are all about ✅ Why OpenMCP is a game-changer for AI and automation ✅ Hands-on demos with popular tools like Gmail, Notion, and Google Drive ✅ How to integrate AI setups—from Claude AI and Anthropic Claude to more experimental systems ✅ A step-by-step guide for installing and running your own MCP servers (yes, including file system, Python, and Cursor variants) without the headache of API keys and env variables OpenMCP is still evolving, and with all these powerful tools like Claude, Anthropic, and Cursor, the future of AI automation looks super promising. Let me know your thoughts in the comments, and if you dig this content, hit like, subscribe, and stay tuned for more cool AI-powered workflow hacks! https://youtu.be/xEyKT5iY0W0?si=ZvnbFqlYu-A9_0q_

As a paid sunscriber l was wandering why l could not access the new "Web Search" on Claude ... Where you too ??? Found this at the very bottom of the page: "Getting started Web search is available now in feature preview for all paid Claude users in the United States. Support for users on our free plan and more countries is coming soon. To get started, toggle on web search in your profile settings and start a conversation with Claude 3.7 Sonnet. When applicable, Claude will search the web to inform its response." https://www.macrumors.com/2025/03/21/anthropic-claude-gets-web-search/ https://www.anthropic.com/news/web-search https://www.theverge.com/ai-artificial-intelligence/632824/anthropic-claude-web-search-ai-scott-white

Resources & Guides Explore our collection of articles, tutorials, and insights about MCP development. https://www.mcpappstore.com/ #mcp #tutorial #modelcontextprotocol #anthropic #claude #llm

Best New Today !!! You can now use Claude to search the internet to provide more up-to-date and relevant responses. With web search, Claude has access to the latest events and information, boosting its accuracy on tasks that benefit from the most recent data. https://www.anthropic.com/news/web-search

Anthropic has launched a significant overhaul to its developer platform, introducing team collaboration features and extended reasoning capabilities for its Claude AI assistant that aim to solve major pain points for organizations implementing AI solutions. The upgraded Anthropic Console now allows cross-functional teams to collaborate on AI prompts — the text instructions that guide AI models — and also supports the company’s latest Claude 3.7 Sonnet model with new controls for complex problem-solving - 6 March, 2025 https://venturebeat.com/ai/anthropic-just-launched-a-new-platform-that-lets-everyone-in-your-company-collaborate-on-ai-not-just-the-tech-team/

Build reliable AI applications Prompt quality plays a significant role in how successful a model's responses are for a given task. The Anthropic Console already streamlines AI development with tools to write, evaluate, and optimize prompts more efficiently. Write prompts: Use the Workbench to structure your prompts effectively, incorporate examples, and integrate external tools, in an interactive environment for testing API calls. Automatically generate prompts: Describe what you want to achieve, and Claude will use prompt engineering techniques such as chain-of-thought reasoning to create an effective, precise, and reliable prompt. Evaluate model responses: Evaluate your prompts against real-world scenarios with automatic test case generation and side-by-side output comparison. Easily run test suites, grade response quality, and make data-driven decisions about which prompts to deploy. Improve prompts: Automatically refine prompts using advanced prompt engineering techniques. This is ideal for adapting prompts that were originally written for other AI models, as well as for optimizing hand-written prompts. https://www.anthropic.com/

Anthropic Console to serve as one place to build, test, and iterate on your AI deployment with Claude and your teammates. Developers can now share prompts to collaborate with teammates directly in the Anthropic Console. We've also added support for our latest model, Claude 3.7 Sonnet, and the ability to control the extended thinking budget. https://www.anthropic.com/news/upgraded-anthropic-console

Anthropic dropped MCP, an open-source Model Context Protocol that transforms how AI systems interact with external data sources. Pietro Schirano built a server that supports EverArt AI’s API to let Claude generate images. Alex Albert, Anthropic’s Head of Claude Relations, gave Claude the ability to search the web using the Brave Search API. Both of these things have been possible with ChatGPT for a while. It can search the web with Bing, it can generate images with DALL-E, but Anthropic’s MCP is different and far more powerful. MCP follows a client-server architecture where applications like Claude Desktop, IDEs and AI tools outside of Anthropic’s ecosystem act as clients, and servers are light adapters that expose data sources. These sources could be remote like APIs for GitHub or Slack, or local files and databases, which is another thing Pietro Schirano played around with, giving Claude the ability to create local files. https://youtube.com/shorts/pFM16nVrnD4?si=M90nhfaJd66pMbS2

To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/DevelopersDigest/ . You’ll also get 20% off an annual premium subscription. Build and Deploy Your Own Model Context Protocol Server with Cloudflare Workers In this video, I show you how to build and deploy your own Model Context Protocol (MCP) server using CloudFlare workers. MCP, introduced by Anthropic last year, has gained traction with integrations in Claude Desktop App, Cursor, and Windsurf. I'll guide you through setting up the server, initializing a project, and deploying it, complete with a TypeScript implementation. Also, learn how to handle function invocations and update your MCP servers. Don't forget to try out Brilliant.org for enhancing your analytical skills! https://youtu.be/3Jsh4brTjE0?si=3J8_2Wu2DzjYqNf0

Claude 3.7 Sonnet and Claude Code https://www.anthropic.com/news/claude-3-7-sonnet Its here !!! Yesterday, Athropic announced Claude 3.7 Sonnet1 and this is the mention on their website: " Today, we’re announcing Claude 3.7 Sonnet1, our most intelligent model to date and the first hybrid reasoning model on the market. Claude 3.7 Sonnet can produce near-instant responses or extended, step-by-step thinking that is made visible to the user. API users also have fine-grained control over how long the model can think for. Claude 3.7 Sonnet shows particularly strong improvements in coding and front-end web development. Along with the model, we’re also introducing a command line tool for agentic coding, Claude Code. Claude Code is available as a limited research preview, and enables developers to delegate substantial engineering tasks to Claude directly from their terminal."

https://stackblitz-labs.github.io/bolt.diy/#setup bolt.diy allows you to choose the LLM that you use for each prompt! Currently, you can use OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, or Groq models - and it is easily extended to use any other model supported by the Vercel AI SDK! See the instructions below for running this locally and extending it to include more models. #bolt #bolt_diy #opensource #openai #claude #groq #deepseek #vercel #v0