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"Reading Microsoft OneDrive files" matching MCP servers:

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    MCP server for FisPro fuzzy inference systems, enabling reading .fis files, running inferences, and explaining rule firings in natural language.
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    MIT
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    An MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.
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    MIT
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    A Model Context Protocol server that enables the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.
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    MIT
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    MCP server for reading and inspecting local Excel files (.xlsx, .xlsm, .xls, .xlsb, .ods) with tools for inspecting metadata, reading ranges, and profiling structure.
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    MIT
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    MCP server for controlling jamovi from MCP clients. It starts a local jamovi engine process and exposes tools for opening datasets, reading/writing data, running analyses, exporting results, and saving .omv files.
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    MIT
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    Brings industry-specific public-equity research into MCP clients, allowing reading of ION reports and queuing isolated company analyses with user approval.
    MIT
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    Enables listing, reading, and fetching curated cybersecurity feeds (RSS/Atom/RDF) with optional filtering, part of Pipeworx gateway.
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    MIT
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    MCP server for Microsoft Clarity Data Export API, providing tools to retrieve traffic, popular pages, engagement metrics, and user behavior insights such as dead clicks, rage clicks, and script errors. Supports multiple projects with daily quota management and shared caching.
    MIT
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    Converts Quantum ESPRESSO output files to structured JSON and serves them via an HTTP API for use with MCP clients.
    MIT
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    Enables musical analysis of MIDI and musicXML files using music21, providing tools for key detection, harmony, melody, rhythm, form analysis, counterpoint checking, and motif extraction.
    MIT
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    Enables searching arXiv, fetching metadata, reading papers as section-aware Markdown, listing recent papers, and downloading PDFs via five MCP tools.
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    MIT
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    Enables natural language control of Aspen Plus for chemical process simulation, including parameter tuning, batch runs, and result reading.
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    MIT
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    MCP server for Jupyter notebook navigation and editing. Reads .ipynb files directly as JSON, providing efficient tools for reading, searching, and modifying cells without needing a Jupyter server.
    MIT