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Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster

Conduct AI-powered qualitative research interviews and surveys at scale with [Agent Interviews](https://agentinterviews.com). Create interviewers, manage research projects, recruit participants, and a

🐍 ☁️ MCP for LLM to search and read papers from arXiv

🐍 ☁️ MCP to search and read medical / life sciences papers from PubMed

🐍 ☁️ MCP to search through PapersWithCode API

📇 🏠 A reliable MCP server for generating and managing screenshots, PDFs, and videos, performing AI-powered screenshot analysis, and extracting web content (Markdown, metadata, and HTML) via the [Urlbo

An MCP server that enables secure credential retrieval from 1Password to be used by Agentic AI

MCP server for Volatility 3.x, allowing you to perform memory forensics analysis with AI assistant. Experience memory forensics without barriers as plugins like pslist and netscan become accessible th

🎖️ 🐍 ☁️ Access real-time X/Reddit/YouTube data directly in your LLM applications with search phrases, users, and date filtering

Frontend component AI assistant for VS Code

Browser extension for AI generation in Jupyter/BigQuery etc…

Focusing on confident code generation (focused on testing well)

One of the OG players in the AI code assistant space

AI-powered code review and automated pull request management

Zero-config AI browser (E2E) tests that review every commit & pull request (PR)

AI code reviews and bug fixes. [](https://launchweek.dev/lw/2024/mega#participants)

Open-source code review agent. [](https://github.com/kodustech/kodus-ai)

Automatically optimizes your website’s copy, images, and UI with AI

Prototype product ideas with AI. [](https://launchweek.dev/lw/2024/mega#participants)

Generate UI from a prompt, all of the UI is streamed and runs as client side components

An AI coding & testing agent

AI assistant in your IDE (Python or JS)

AI-powered cloud-based IDE

AI localization infrastructure. [](https://launchweek.dev/lw/2024/mega#participants)