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    Enables vision LLMs to read PDFs by automatically detecting text corruption and switching between text extraction and image rendering modes, while preserving reading order and filtering unnecessary images to prevent token overflow.
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    MIT
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    Zero-config MCP server that connects local codebases to AI assistants, providing secure project tree, regex search, file reading, and tech stack tools locally.
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    MIT
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    A completely stabilized filesystem MCP server optimized for Claude with overflow-proof design. Supports simultaneous multi-block editing with zero-failure guarantee, advanced error recovery, and performance-tuned parameters for maximum reliability.
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    Apache 2.0
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    Enables editing text in existing PDFs by modifying content stream operators, preserving original fonts and positions. Provides fidelity reports on every edit, indicating font preservation, substitution, overflow, and other degradations.
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    MIT
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    Enables secure downloading and access to Slack files and images using authenticated Bot User OAuth tokens. Integrates with Claude Code Action to allow Claude to analyze screenshots and files shared in Slack channels.
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    MIT
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    Enables AI agents to interact with both frontend and backend projects by providing file system access and context through the MCP protocol, facilitating full-stack development assistance.
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    Enables offline AI agent automation with embedded local LLM (Qwen 2.5), sandboxed file operations through AgentFS, and dynamic skill loading. Exposes capabilities via MCP with tri-state safety guards for private, air-gapped environments without network connectivity or API costs.
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    A full-stack web application that allows users to upload, view, edit, and delete files and folders in a specified workspace, with protection for binary files.
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    Enables deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It utilizes EdgeOne Pages Functions and KV storage for high-performance edge delivery of web applications.
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    MIT