Convert CSV/TSV to compressed Parquet, reducing query costs and storage by 85%.
MIT
649,985 tools. Updated 2026-10-10 00:24
"Apache Parquet" matching MCP tools:
- Run read-only SQL queries over Indian legislation and court judgment parquet files to filter and retrieve legal records by act, case, year, or text pattern.Apache 2.0
- Execute SQL queries on local Parquet, CSV, or JSON files by treating them as tables, enabling instant data analysis without a separate database.Apache 2.0
- Scans a local directory for table-like files (CSV, Parquet) and optionally includes subdirectories.MIT
- Export a dataset (target series and exogenous features) from a data handle to a local file in CSV, Parquet, or JSON format.BSD 3-Clause
- Lists all Apache Airflow DAGs with metadata including status, schedule, tags, and owners for workflow discovery and monitoring.Apache 2.0
Matching MCP Servers
- AlicenseAqualityCmaintenanceEnables inspection and management of Apache Airflow DAGs, runs, and logs across multiple instances. It provides tools for monitoring workflows and performing gated write operations like triggering DAGs or clearing task instances.1629 PyPI2Apache 2.0
- AlicenseAqualityDmaintenanceEnables querying and managing Apache Druid datasources through natural language, including SQL queries, datasource exploration, and cluster connectivity testing.410 npm2Apache 2.0
Matching MCP Connectors
Parquet magic-byte check, file discarded
Parquet magic-byte check, file discarded
- List installed Apache Airflow provider packages with their versions, descriptions, and included operators, hooks, and sensors. Responds to queries about provider availability and integration details.Apache 2.0
- Retrieve real column names and data types for a parquet file using its hf:// URI. Use it to verify field names before running SQL queries when no schema is documented.Apache 2.0
- Check dataset build status and retrieve download links for Parquet files when ready. Track progress through 10 steps and get file metadata including size and expiration.MIT
- Catalog every data set under given roots into a Parquet index with metadata, integrity checks, and personal-data flags for openreadout_search; resume interrupted crawls by calling again.Apache 2.0
- Query geospatial data using DuckDB spatial SQL, returning preview rows or materializing full results as GeoParquet with provenance.AGPL 3.0Destructive
- Retrieve the Python source code of an Apache Airflow DAG by providing its DAG ID. Returns the DAG file content and file token for inspection and debugging.Apache 2.0
- Load vulnerability data from existing Parquet files to skip export and accelerate analysis. Provide the file or directory path.MIT
- Retrieve comprehensive details for a specific Apache Airflow DAG, including schedule, pause status, owners, tags, and run configuration.Apache 2.0
- Creates a table import plan from S3 parquet files by scanning schemas and generating a YAML plan, returning a job ID for tracking.MIT
- Load and analyze data files from absolute local paths or URLs. Supports CSV, JSON, HTML, Excel, ODS, and Parquet formats.Apache 2.0
- Convert raw lab-instrument files to open formats such as OME-TIFF, OME-Zarr, mzML, Parquet, NWB, JCAMP, or RDML, leaving the source untouched and verifying the output.Apache 2.0Destructive
- Download prediction challenge inference data for specified periods to a local .parquet file, with optional polling for availability.MIT
- Download specific training datasets from CrowdCent prediction challenges to a specified .parquet file path for model training and analysis.MIT
- Create an empty Iceberg table by inferring schema from parquet, CSV, or JSONL files in an S3 URI. Supports partitioning and optional replacement.MIT
- Export collected battery cell data frames to CSV, Parquet, or JSON files for storage, sharing, and further analysis.MIT