Visualize data distribution by creating box plots from SQL queries on CSV or Parquet sources using DuckDB syntax. Specify x and y-axis columns, and optionally add color to represent additional dimensions.
Extract text content from files stored in Box by specifying the file ID. Integrates with MCP Server Box for streamlined file interaction and data retrieval.
Initiate the Box app authorization process through the MCP Server Box to enable interaction with Box files and folders, supporting operations like file search and text extraction.
Search for files in Box using specific query, file extensions, and content types. Filter results by folder IDs to locate precise information across names, descriptions, content, comments, or tags.
A Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying and data extraction.
Cline MCP integration that allows users to save, search, and format memories with semantic understanding, providing tools to store and retrieve information using vector embeddings for meaning-based search.