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    Enables LLMs to capture screenshots and screen recordings through MCP with chunked session-based transfers for reliable image consumption. Supports multi-monitor selection, timeline capture, and compatibility with both vision and non-vision language models.
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    An MCP server that enables local AI models to receive guidance from remote 'senior' AI providers like OpenAI, Anthropic, and Gemini to solve programming problems. It features intelligent multi-turn dialogue management, context synchronization, and automated session history tracking.
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    Wisp AI Assistant MCP Server is a local MCP server that gives trusted AI clients read-only desktop context through Wisp: selected text, clipboard contents, active-window details, visible browser-page text, and screen snippets.
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    MIT
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    mcp-test-runner is an MCP server that lets your AI client (Claude / Cursor / Codex / Gemini) drive your entire QA loop end-to-end: * Run tests across pytest / Jest / Cypress / Go / Maestro — single MCP surface, one env var to switch * Analyze a URL (Web DOM probe) or a live mobile screen (Maestro hierarchy) to extract testable modules + candidate cases * Generate runna
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    MIT
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    MCP server for FreezeText — OCR anything on your Mac screen from Claude, Cursor, or any MCP client. Freeze the screen and extract text via Apple Vision (videos, popups, protected PDFs), OCR a region or a base64 image, and manage a searchable capture history. 12 tools. Bridge open-source (MIT), FreezeText app is free.
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    12
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    MIT
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    A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
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    MIT
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    An MCP server that integrates X (Twitter) API access with Grok-powered intelligence for real-time social media analysis and account management. It provides tools for reading and writing tweets, managing direct messages, and generating AI-powered topic summaries or daily briefings.
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    23
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    Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida
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    MIT
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    Connects Jia Li Chuang EDA / EasyEDA Pro schematics to MCP clients, enabling AI-driven schematic editing, reading, and analysis.
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    19