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    Enables conversational data analysis of Excel/CSV files through natural language queries, powered by 395 Excel functions via HyperFormula and multi-provider AI. Supports advanced analytics, bulk operations, financial modeling, and large file processing with intelligent chunking.
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    MIT
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    Enables efficient reading, analyzing, and querying of Excel, CSV, and JSON files with support for chunked processing, column/field filtering, and streaming for large datasets. Supports multiple transport protocols (stdio, HTTP, SSE) for flexible integration.
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    ISC
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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.
    Last updated
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    MIT
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    Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.
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    MIT
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    Enables LLMs to access, analyze, and extract information from STDF-V4 semiconductor test data files, supporting metadata extraction, parametric analysis, yield calculations, and multi-site test data filtering with CSV/Excel export capabilities.
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    MIT
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    Enables LLM agents to load, explore, and analyze CSV and Excel files using DuckDB, with tools for SQL querying, statistical analysis, expense optimization, and anomaly detection.
    Last updated
    MIT
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    Enables AI assistants to perform statistical analysis on MySQL databases, generating formatted Excel reports with t-tests and effect sizes, and creating thesis-quality Word documents with AI-powered insights.
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    MIT
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    Ad libraries are public but fragmented. Every platform is a silo - different UI, different filters, different quirks. If you want to see what competitors are running, you're either opening four tabs and pasting into Excel, or maintaining scrapers that rot with every layout change. adextract gives AI agents a single MCP endpoint to search, read, and compare ads across Meta, TikTok, LinkedIn, and mo
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    MIT
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    An MCP server that exposes the local GEMPACK CGE toolchain (TABLO, GEMSIM, HAR utilities) as tools Claude can call: compile models, run simulations, read solution and HAR data files, and export to CSV/Excel.
    Last updated
    MIT
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    A lightweight document parser MCP server that enables Claude to parse PDFs, Word, Excel, images (OCR), and other document formats with support for chunking and metadata extraction.
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    MIT
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    Enables AI to efficiently analyze and extract structured data from complex documents, especially Excel files, by providing tools like section reading and field mapping to reduce token usage and improve success rates.
    Last updated
    2
    MIT