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"How to Work with Excel and Word Documents" matching MCP servers:

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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
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    MIT
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    Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.
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    A "Virtual DOM" for Microsoft Word enabling AI to safely read, redline, and sanitize DOCX contracts without breaking formatting.
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    MIT
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    Enables data analysis on CSV/Excel files using pandas. Supports profiling, column interpretation, sandboxed code execution, and interactive chart generation.
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    MIT
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    Enables Japanese word lookup and search using the Jisho.org dictionary, providing tools to search entries and retrieve exact word definitions with JLPT levels and parts of speech.
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    MIT
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    Semantic search server with relationship-aware discovery across codebases and documents.
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    MIT
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    MCP server that lets agents edit real Microsoft Word (.docx) documents - tracked changes, tables, styles, comments, content controls, and document properties - with every edit validated and previewed before saving. Built on the Open XML SDK (no Word automation); reads and writes documents in place through filesystem or SharePoint storage.
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    MIT
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    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
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    MIT