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"Optical Character Recognition (OCR) Technology" matching MCP servers:

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    Technology-aware MCP server for Magento 2 and Adobe Commerce with intelligent indexing and search, enabling AI assistants to search, navigate, and understand codebases via semantic search and domain-specific pattern detection.
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    MIT
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    Enables AI assistants to dynamically generate technology-specific prompts and modular templates for PRD, codebase analysis, and bug analysis through programmable tools, supporting 31 technology stacks and multiple analysis dimensions.
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    MIT
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    Intelligently engineers and optimizes prompts for Claude Code with automatic language detection, task type recognition, and interactive refinement capabilities. Works entirely offline without external API dependencies to transform natural language requests into structured, Claude Code-optimized prompts.
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    MIT
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    Enables AI assistants to perform sophisticated static code analysis using Joern's Code Property Graph technology. Supports multi-language analysis, security vulnerability detection, and code quality assessment through isolated Docker environments.
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    GPL 3.0
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    Provides tools to prepare and validate ABAP Open SQL statements for SAP's ADT data-preview console, automatically fixing dialect issues like parenthesis spacing and 255-character limits.
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    Enables LLMs to perform high-performance code search and analysis across multiple languages using symbol indexing, regex text search, and structural AST pattern matching. It also provides tools for technology stack detection and dependency analysis with persistent caching for optimized performance.
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    Provides free and unlimited vision capabilities for AI coding assistants using the Groq API and Meta Llama 4 Vision model. It enables users to perform image analysis, OCR, UI layout description, and error diagnosis directly from screenshots and documents.