Skip to main content
Glama
619,753 tools. Updated 2026-09-28 17:53

"Excel data processing tools and methods" matching MCP tools:

Matching MCP Servers

  • A
    license
    A
    quality
    B
    maintenance
    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
  • A
    license
    Not graded
    quality
    D
    maintenance
    An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.
    MIT

Matching MCP Connectors

  • Lists all available tools and methods in the MCP Hello World server for integration testing and development purposes.
    -
  • Write data to CSV or Excel files with support for multiple sheets, enabling structured data export from the Excel MCP Server.
    MIT
  • Open an Excel workbook from an absolute path in the running Excel instance. Makes it available for ModelRisk tools, reusing an open workbook with the same filename.
    MIT
  • Transform receipt extraction results into a downloadable Excel workbook (XLSX). Provide receipt data to receive a Base64-encoded XLSX file for simplified data analysis and sharing.
    MIT
  • Extract data from Excel sheets and convert to structured JSON with headers and typed rows. Specify sheet index and header presence for precise data extraction.
    MIT
  • Fill Excel templates with data at named cells and ranges. Insert cell values and table data into .xlsx files, with optional formula recalculation. Ideal for automating spreadsheet generation.
    MIT
  • Search for AI workflows by name, description, or keywords to find tools for image generation, text processing, and more.
    MIT
  • Extract data from an Excel sheet and convert it to CSV text. Provide base64-encoded file, optional sheet index (0-based), and delimiter. Returns CSV content for easy data processing.
    MIT
  • Load and analyze data files from absolute local paths or URLs. Supports CSV, JSON, HTML, Excel, ODS, and Parquet formats.
    Apache 2.0