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    Enables AI-assisted reverse engineering in IDA Pro by providing tools to analyze binaries, decompile functions, manage comments, search patterns, and interact with the IDA database through natural language.
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    MIT
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    Connects AI agents to IDA Pro and x64dbg for unified static and dynamic reverse engineering, enabling coordinated analysis, debugging, and patch planning through a local MCP daemon.
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    MIT
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    A headless IDA Pro MCP server that enables AI agents to automatically open, analyze, and query multiple binary files simultaneously without manual GUI interaction. It provides 36 tools for tasks like decompilation, disassembly, and cross-reference analysis through IDA's idalib library.
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    An MCP server that lets Claude Code consult stronger AI models (o3, Gemini 2.5 Pro, DeepSeek Reasoner) when you need deeper analysis on complex problems.
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    MIT
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    Enables AI assistants to generate and edit images using Google's Gemini 2.5 Flash Image API with intelligent prompt enhancement. Supports text-to-image generation, image editing with natural language instructions, and advanced features like character consistency and multi-image blending.
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    A TypeScript server that integrates Google's Gemini Pro model with Claude Desktop through the Model Context Protocol, allowing Claude users to access Gemini's text generation capabilities.
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    MIT
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    Enables AI assistants to control and automate Abaqus/CAE simulations via MCP, including model query, job management, ODB inspection, KPI extraction, capsule tracking, physics contract validation, report generation, and viewport capture. It also supports noGUI batch mode, dual transport, and integration with Codex/Claude clients.
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    Enables natural language interaction with UKG Pro Workforce Management APIs. It detects intent, resolves missing inputs, hydrates related objects, and returns complete, validated operational answers across scheduling, timekeeping, attendance, and more.
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    Enables web ChatGPT sessions to submit discussion results back to the original Codex task via MCP, allowing the task to continue after the web interaction completes.
    MIT
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    Multi-model AI council MCP server that lets multiple LLMs debate, critique, and vote on questions to reach a consensus, with automatic failover and hot-swap of models during debates.
    MIT