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523,718 tools. Updated 2026-09-06 13:58

"Tools or methods for generating CSV files" matching MCP tools:

  • Download a Dropbox file as UTF-8 text to read docs, notes, code, or CSV files. Handles files up to 5 MB; use temporary link for larger or binary files.
    MIT
  • Load CSV files as seed data to create reference tables, test datasets, or static data for database models.
    MIT
  • Export a feature class or table to a CSV file, enabling attribute data to be used in data pipelines, reports, or non-GIS tools.
    Apache 2.0
  • Upload CSV or text data to an Anaplan file, overwriting existing content. Compress large files for faster transfer.
    MIT

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    Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.
    8
    MIT

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  • CSV <-> JSON MCP.

  • Decision Layer for AI Agents — 58+ tools, Advisor, MCP. Free key: POST /v1/register {}.

  • Preview CSV files, convert CSV to XLSX, and export XLSX to CSV with configurable delimiters and encodings.
    MIT
  • Export selected opportunities to JSON or CSV files. Specify opportunity IDs, choose format, and optionally name the output file without overwriting existing files.
    MIT
  • Export simulation results from CST Studio to CSV, Touchstone, or text files for post-processing in external tools like MATLAB or Python. Specify the result path and output format.
    AGPL 3.0
  • Convert structured data like JSON, YAML, CSV, or XML into diagrams for visualizing raw data structures, configuration files, or API responses.
    Functional Source , Version 1.1, ALv2 Future
  • Export CSV or JSON data to Excel files with customizable sheet names for structured data storage and analysis.
    MIT
  • Extract the largest files, folders, or all rows from a WizTree CSV snapshot, sorted by size or allocated space.
    MIT
  • Upload local CSV or Excel files to DaxOps for automatic modeling and receive a sourceId to use with build tools.
    -
  • Execute Python code for financial analysis, quantitative backtesting, or generating charts. Runs in a sandboxed environment with pandas, numpy, and matplotlib support.
    -
  • Locates files on the system using glob patterns such as /tmp/*.pdf or ~/data/**/*.csv.
    -
  • Retrieve localization strings from registered .translation or .csv files. Optionally filter by language code to get translations for a specific locale.
    MIT
  • Read CSV or Excel files with chunking support for large datasets. Specify sheet names, row offsets, and limits to extract data efficiently.
    MIT