Extract and convert data from Excel files by reading specific sheets, cell ranges, or searching for values in columns, with output in JSON, CSV, or table format.
Export files or directories from a sandbox via the 302AI MCP Server. Supports batch downloads for common formats, including documents, images, audio, video, web, and programming files.
Retrieve file metadata like size and line count without accessing file contents. Helps determine optimal reading strategies for large files by analyzing file characteristics first.
Apply programming paradigms to solve coding problems by selecting approaches like functional, object-oriented, or reactive programming for structured solutions.
Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.
Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.