CLI for common Playwright actions. Record and generate Playwright code, inspect selectors and take screenshots. - microsoft/playwright-cli
Secure your AI agents with adversarial red-teaming. Test voice, chat, and multimodal AI for vulnerabilities.
MCP for Commerce Platforms. Contribute to slavpilus/mcp development by creating an account on GitHub.
Provides secure access to Vercel projects via an MCP endpoint for AI tools and clients.
Learn which tools help AI agents search, scrape, crawl, map websites, answer questions, and research the web faster.
Contribute to ShepAlderson/copilot-orchestra development by creating an account on GitHub.
omo; the best agent harness - previously oh-my-opencode - code-yeongyu/oh-my-openagent
I built 4 plugins, 39 skills, a genomic analysis pipeline, and a full-stack app — all inside a desktop agent that most people treat like a chatbot. Here's the operating manual.
An open-source AI orchestration framework for your React front end.
Open source MCP servers for AI integrations
Are websites about to go out of style? AI agents are exploring new user interfaces, including AI browsers and a new project called MCP-UI.
MCP-UI standardizes rich HTML UIs within AI agents using Model Context Protocol, bypassing static websites for agent-first interactions. SDKs for TypeScript/Ruby enable dynamic components like e-commerce in VS Code. Proponents envision AI browsers and Jarvis-like clients replacing browsers; services shift to MCP-native with lean human UIs atop. Bridges AI capabilities to web tech, aligning with projects like NLWeb amid hype for agent UIs.
The key insight behind Model Context Protocol (MCP) is simple: rather than building custom integrations for every tool and data source, MCP standardizes how AI applications connect to external…
Model Context Protocol (MCP) standardizes AI integrations with tools and data, akin to REST for web apps, solving fragmentation. This guide series covers building MCP servers/clients, LangChain adaptations, scaling, Server-Sent Events, GCP deployment, streamable HTTP clients, and agentic RAG. It enables reusable connections: hosts manage clients/servers for external context. Hands-on projects transform custom hacks into efficient, scalable AI-data pipelines.
As a solo developer building UserJot, I was spending too much time on repetitive tasks. Between...
This article explains how to use the Model Context Protocol (MCP) and FastMCP to turn an AI assistant into a proactive partner that can browse local files, call APIs, and manage terminal commands.
By building custom tools for keyword research, support ticket analysis, and task prioritization, you can reclaim a significant amount of daily time and make smarter, data-driven decisions for your projects.