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

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    An MCP server that implements a conversational AI 'waifu' character using a text generation service with Redis queuing and GPU acceleration.
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    MIT No Attribution
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    Calculates optimal chunk offsets for large files to bypass Claude Code's 50K character truncation limit while maintaining native Read/Edit/Write compatibility. It allows the AI to seamlessly re-read files in correctly-sized pieces by providing a specific reading plan.
    MIT
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    A multi-model platform that integrates RAG (Retrieval-Augmented Generation) with LLMs, supporting OCR via Tesseract and offering both backend API and frontend web interface.
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    mistral-mcp is a TypeScript MCP server (spec 2025-11-25) that exposes the full Mistral AI API surface: 22 tools: chat, OCR, audio (Voxtral), vision, agents, embeddings, moderation, classification, files, batch, sampling, FIM (Codestral), streaming 2 resources: mistral://models, mistral://voices 6 curated prompts (French + English) with MCP argument completion Dual transport: stdio (default) + Str
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    MIT
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    An MCP server for interacting with Saptiva AI's suite of models, offering capabilities such as chat completions, chain-of-thought reasoning, and OCR. It enables users to generate semantic embeddings, access specialized prompts, and manage AI-driven workflows through a standardized interface.
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