Sami Halawa
@samihalawa
AI Expert, Teacher, and Machine Learning Specialist with a passion for developing intelligent systems. Experienced in working with AI agents, multi-agent system
20
Published Tools
157
Total Stars
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Published Tools
19 MCP Servers1 Agentacross 5 categoriesVUDA: Visual UI Debug Agent - An autonomous MCP for visual testing and debugging of user interfaces
samihalawa
Email MCP Server with SMTP and IMAP support - simple, clean, and flexible
Scan QR codes and go! No more troublesome autos or APIs! Send text messages, images, links, locati…
samihalawa
Model Context Protocol server for Google Ads management (Node.js)
samihalawa
Advanced TTS MCP Server - High-quality neural voice synthesis with enhanced features and streaming capabilities
samihalawa
MCP server for video analysis using Google's Gemini AI
samihalawa
Remote control your Mac with AI — Desktop Commander MCP menubar app for macOS. Connect Claude, GPT-4 and other AI agents to your Mac remotely via MCP protocol.
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Blazingly fast audio transcription MCP server using Whisper with Flash Attention 2
samihalawa
Multi-provider MCP server with 17+ FREE AI models including Llama 4, DeepSeek R1, Qwen 3, and more
samihalawa
EnvMem - Personal environment variable memory with semantic search. Store, search, and manage your environment variables with AI-powered semantic search.
...moresamihalawa
MCP AI Vision Debug UI Automation - MCP server for visual analysis and automated UI testing
samihalawa
Live suggestions for what to say next in job interviews, client calls, and meetings.
org_01KNB5PXY3M5J6S769Q4S6HNXR
VUDA - Visual UI Debug Agent Autonomous MCP Server for AI-Powered Visual UI Testing & Debugging VUDA (Visual UI Debug Agent) is an MCP (Model Context Protocol) server that empowers AI models to visually analyze, test, and debug web interfaces using Playwright. Any AI model, even without native vision, can inspect web pages, detect UI bugs, validate workflows, and measure performance automatically. --- Key Features Visual Analysis: Capture screenshots, map interactive elements, analyze page
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MCP server that sends one identical brief to several LLMs in parallel and returns every answer unmerged, unranked and unsynthesized, so the calling agent can see agreement and disagreement instead of an averaged blur.
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