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"Guide to Reading and Editing Excel Files with Chinese Characters" matching MCP servers:

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    A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.
    21
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    MIT
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    An AI reading companion that curates next books based on the Chicago Plan curriculum and tracks user reading progress with personal tokens. It offers book recommendations, logging, coaching questions, and reading reports.
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    A traceable Chinese-history MCP server that enables querying of nine classical Chinese texts (e.g., 史记, 汉书) with citations and honest status labels. It provides four tools to search events, persons, places, and qualities, all with provenance.
    4
    30 PyPI
    3
    MIT
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    A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.
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    Enables a shared reading room where users and Claude can import EPUB or text books, read chunk-by-chunk, annotate passages, search, track progress, and resume from unread sections.
    26
    MIT
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    Enables shared reading between humans and AI assistants, including book import, chunked reading, margin annotations, reading progress tracking, and note exchange.
    2
    MIT
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    Enables counting only the Chinese characters in a piece of text, ignoring punctuation, whitespace, Latin letters, digits, and emoji, while also returning a per-category breakdown and Chinese-to-total ratio. It can additionally batch-count up to 500 texts at once and extract just the Chinese characters from any given text, making it useful for copy length checks, homework word counts, and title limits.
    3
    MIT
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    Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.
    5
    MIT
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    Enables AI educators to provide simple explanations, interactive demonstrations, and relatable analogies for complex AI concepts during workshops. Makes artificial intelligence topics accessible and engaging for participants through structured teaching tools.
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    Enables comprehensive management of Anki decks and notes through the Model Context Protocol, including bulk operations and note type customization. It features integrated high-quality audio generation for flashcards using ElevenLabs and Google Cloud Text-to-Speech APIs.
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    Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.
    4
    MIT