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    Smart Search MCP is an intelligent search toolkit focused on the technology field, providing 14 enhanced search tools covering mainstream international and domestic technology platforms. It has functions such as intelligent URL generation, input verification, and advanced search techniques, making i
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    Apache 2.0
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    A sophisticated MCP server that provides a multi-dimensional, adaptive reasoning framework for AI assistants, replacing linear reasoning with a graph-based architecture for more nuanced cognitive processes.
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    MIT
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    Enables secure execution of JavaScript and Python code in cloud-based E2B sandboxes with integrated file management capabilities, allowing Claude to run and test code safely in isolated environments.
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    Pay-per-call API that verifies whether a domain belongs to a real business. Returns a verdict (real/likely_real/uncertain/likely_fake/fake), a 0-100 score, and signals (WHOIS via RDAP, SSL via Certificate Transparency, homepage LLM judgment, contacts, social) — for KYB, vendor screening, fraud checks, and lead qualification.
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    A token-efficient MCP server for Chrome DevTools Protocol that provides smart snapshots, diffing, and screenshot-to-disk tools, reducing token usage dramatically compared to official snapshots.
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    Apache 2.0
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    Enables AI agents to interact with the Smart NPV CRM for Israeli mortgage advisors, allowing natural language management of client files, statuses, documents, and simulations.
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    MIT
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    Connects AI assistants like Claude to PHP's XDebug debugger for runtime inspection, breakpoint control, and variable tracking, enabling natural language debugging of PHP applications.
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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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    MIT
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    Enables comprehensive code analysis including quality assessment, security vulnerability detection, refactoring suggestions, complexity calculations, and automatic documentation generation for multiple programming languages.
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    MIT
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    Reads PDF, image, or video files by sniffing format and delegating to specialized sibling MCP servers, extracting facts and metadata without LLMs.
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    MIT
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    Provides LLM-optimized filesystem access with intelligent file pagination for large files, lightning-fast ripgrep-powered code search with regex support, and security sandboxing to safely explore and search codebases.
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    MIT
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    Enables intelligent analysis of codebases to generate comprehensive documentation, calculate documentation coverage, and identify missing documentation with severity levels. Supports TypeScript, JavaScript, and Python with AI-powered suggestions for documentation improvements.
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    MIT
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    Enforces mandatory testing before merging via isolated worktrees, with build verification, auto-rollback, and persistent memory. It provides full-cycle development automation including context health tracking.
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    MIT
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    Enables interaction with the Monad blockchain to analyze smart contract source code for functionality and security, with decompilation support for unverified contracts.
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    Apache 2.0