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    Provides web search and content extraction tools for AI assistants, with zero configuration and swappable backends.
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    Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.
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    Provides intelligent error detection and debugging capabilities across multiple programming languages with real-time monitoring of build, lint, runtime, console, and test errors. Offers AI-enhanced error analysis with automated resolution suggestions and context-aware debugging.
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    MIT
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    Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.
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    A Model Context Protocol server that provides access to Magic UI components, allowing AI assistants and other MCP clients to discover and use UI components from the Magic UI design system.
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    Enables AI assistants to search, understand, and retrieve UI components from ui-layouts.com through tools like search, documentation, metadata, and source code access.
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    MIT
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    Native Claude Code integration for @annondeveloper/ui-kit — a zero-dependency React component library with 147 components, 3 weight tiers, physics-based animations, and OKLCH color system. Gives Claude deep awareness of the library's components, design patterns, and conventions. Includes 5 skills for component discovery, code generation, design system reference, tier selection, and accessibility
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    MIT
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    Enables Indian bank branch IFSC code lookup via Razorpay's open API, allowing AI agents to retrieve branch details using IFSC codes.
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    MIT
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    Gives MCP clients access to a registry of elite UI patterns, components, and motion configs with real, copy-pasteable React/TSX implementations.
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    MIT
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    Enables AI-assisted development of CodeQL queries for security analysis through the Model Context Protocol. Provides tools for compiling, testing, and executing CodeQL queries across multiple programming languages.
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    An all-in-one development toolkit that integrates 10 popular MCPs with comprehensive features for solo developers, supporting frontend, backend, mobile development, database management, testing, and deployment automation.
    Last updated