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    Enables coding agents to perform safe, project-wide Python refactoring (rename, move, extract, inline, change signature, organize imports, etc.) with a dry-run safety contract and LSP-coordinate addressing.
    15
    MIT
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    Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.
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    MIT
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    MCP server integrating Rizin reverse engineering, RzGhidra decompiler, and capa for binary analysis, enabling LLMs to open binaries, identify capabilities, extract function addresses, and decompile to C pseudocode.
    10
    MIT
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    Exposes tools for AI assistants to query a persistent SQLite+FTS5 index of C/C++ symbols parsed from real build commands, enabling sub-millisecond lookup, full-text search, and natural-language explanation without hallucination.
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    7
    MIT
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    Enables the generation and iterative refinement of React UI components from natural language descriptions or design images using Vercel's v0 API. It provides tools for design-to-code workflows and chat-based component development within Claude, Cursor, and other MCP environments.
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    MIT
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    An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.
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    GPL 3.0
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    Enables AI agents to formally verify constant-time, masking, and patch completeness properties of Verilog hardware designs, providing concrete leakage signals and next-step guidance.
    12
    Apache 2.0
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    A lightweight MCP server that provides 40 tools for TypeScript/JavaScript refactoring and code intelligence, directly mapping to TypeScript's tsserver protocol commands for accurate structural changes and workspace analysis.
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    3
    MIT
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    A token-efficient MCP server for exploring GitHub repositories using tree-sitter AST parsing to extract symbol signatures and summaries. It enables users to search and retrieve specific code components while significantly reducing token consumption compared to raw file dumps.
    7
    2,576
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    Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.
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    Apache 2.0
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    An MCP server that enables AI agents to move TypeScript files and directories while automatically updating all affected imports using a persistent tsserver instance. This ensures atomic, error-free refactoring that maintains project integrity without manual intervention or wasted tokens.
    2
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    MIT
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    Enables AI assistants to analyze GDScript code structure, extract symbols, functions, and dependencies without reading entire files. Supports efficient navigation and understanding of Godot game engine codebases through tree-sitter parsing.
    8
    1
    MIT
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    Enables AI assistants to extract and document Mendix Studio Pro modules by interrogating local .mpr files. Generates comprehensive JSON documentation of domain models, pages, microflows, and enumerations without sending data to the cloud.
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