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"Godot Engine" matching MCP servers:

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    A Model Context Protocol server that enables AI assistants to manage Godot projects, scenes, and editor operations through natural language commands.
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    MIT
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    An out-of-the-box, zero-dependency Model Context Protocol (MCP) server integration designed specifically for the Godot Engine (4.x).Once connected, your AI agents (Claude, Cursor, Trae, ChatGPT) gain access to a powerful set of tools to interact with your active Godot project directory.
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    MCP server that integrates Everything file search engine on Windows, enabling fast file and folder searches using Everything syntax, plus version and status checks.
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    MIT
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    Enables searching Google Custom Search Engine for images and saving them directly to the user's project directory.
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    MIT
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    An open-source MCP server that gives AI assistants comprehensive tools to read, write, run, and verify Godot projects, featuring a three-layer architecture (headless, editor, game bridge) with systematic security protections.
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    MIT
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    Provides integration with Everything Search Engine allowing powerful file search capabilities through the Model Context Protocol with advanced search options like regex, case sensitivity, and sorting.
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    MCP server that enables AI agents to control and interact with Godot 4 editor, allowing scene manipulation, file editing, and project inspection through natural language.
    MIT
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    Enables AI assistants to search local files on Windows using the Everything search engine, supporting basic and complex file searches with filters like date, size, media type, and document type.
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    MIT
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    MCP server wrapping the YARA pattern-matching engine for binary triage, enabling users to compile and scan files against analyst-defined YARA rules.
    MIT
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    Enterprise-grade PDF engine for AI agents. Pure TypeScript, zero-dependency, and local-first. Allows agents to generate ISO-compliant PDF/A documents, handle digital signatures (PKCS#7), and process high-performance layouts (800+ pages in seconds).
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    MIT
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    An MCP server for byte-preserving, surgical editing of Office documents (docx, pptx) via the GenOffice engine, enabling extraction, patching, creation, deletion, watermarking, and app/CDP-driven operations without breaking layout.
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    MIT
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    Enables LLMs to read and extract content from PDF files with high-fidelity LaTeX recognition and layout awareness using a Python-based extraction engine. It includes a robust Node.js fallback and supports page range filtering for efficient processing of large documents.
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    MIT
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    An MCP server for 7-Zip archive operations (list, extract, create) with dual-engine architecture and sandbox security features. Note: currently a learning project and not yet functional.
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    MIT