Scans a local directory for table-like files (CSV, Parquet) and optionally includes subdirectories.
MIT
732,119 tools. Updated 2026-11-01 13:35
"Parsing and Unparsing CSV Files for AI Context Use" matching MCP tools:
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CSV <-> JSON MCP.
- Evaluate a forecasting plan using cross-validation to produce fold metrics, prediction CSV files, and metric CSV files, then return an ID.Apache 2.0
- Initialize a complete workflow session by loading agents, skills, files, and libraries into the AI assistant's context.MIT
- Load CSV seed files into database tables to provide reference data for models and tests. Use state-based selection to only load changed seeds.MIT
- List files and subcollections in any collection for a quick overview of available content. Explore the structure of digital scholarly editions without parsing document contents.MIT
- 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
- Detect your project's tech stack and regenerate AI context files from configuration. Use after framework changes or when context files become outdated to maintain accurate AI assistance.MIT
- Export SQL query results directly to CSV or JSONL files, handling large datasets without loading into context.MIT
- Push local .context/ files to remote Git and auto-generate SUMMARY.md for persisting AI agent memory across devices.MIT
- List CSV lookup files in Splunk to reveal metadata like name, owner, app, permissions, and last updated time, helping you locate relevant lookup tables for further analysis.Apache 2.0
- Load CSV files as seed data to create reference tables, test datasets, or static data for database models.MIT
- Pack repository files into a single AI-friendly file to load context efficiently at session start. Use include parameter to filter relevant files and repomix-estimate first to check size.MIT
- Upload local files to batch-parse PDFs and documents when no public URL exists. Use for offline files only, as uploads may be slow and timeout-prone.MIT
- Retrieve and format all markdown files from a specified project directory to provide AI assistants with structured project context for enhanced task understanding and execution.MIT
- Read paginated sections of log files using token-based paging to respect AI context limits. Detects file modifications between calls.MIT
- Restore project context by pulling .context/ files from remote Git and returning their contents. Use to load or recover context on a new device.MIT