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
306,490 tools. Last updated 2026-07-27 01:08
"Apache Parquet" matching MCP tools:
- Scans a local directory for table-like files (CSV, Parquet) and optionally includes subdirectories.MIT
- Load existing vulnerability data from Parquet files without running a full export. Speeds up analysis by using previously downloaded files.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
- 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
Matching MCP Servers
- AlicenseBqualityCmaintenanceConnects LLM clients to Apache Superset for querying charts, dashboards, datasets, databases, and executing SQL.Last updated12GPL 3.0
- Alicense-qualityDmaintenanceApache Cassandra MCP Server by CDataLast updated3MIT
Matching MCP Connectors
Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.
The first artist-owned MCP server. Discover, narrate, and stream Matthew Hartley's debut album The Time Is Now from any compatible AI client. Exposes 8 tools (list_songs, get_song, list_chapters, get_chapter, get_artist, get_experience, get_experience_prompt, refresh_stream_urls) over a public HTTP endpoint with no auth. Apache 2.0 licensed.
- Download a completed Rapid7 export and load the Parquet files into the local DuckDB database for querying.MIT
- Load time series data from pandas, files, SQL, or URLs into a data handle for forecasting. Choose synchronous or asynchronous execution.BSD 3-Clause
- 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
- 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 local or remote data files in CSV, JSON, HTML, Excel, ODS, or Parquet format. Returns DataFrame information and metadata.Apache 2.0
- Download prediction challenge inference data for specified periods to a local .parquet file, with optional polling for availability.MIT
- Query Shodan to find hosts matching a search term like 'apache port:443 country:US'. Supports pagination and facets for refined results.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
- Submit prediction challenge entries from a Parquet file to the CrowdCent platform. Specify file path and optional submission slot for processing.MIT
- Download the consolidated meta model for CrowdCent prediction challenges to a specified .parquet file path, enabling access to challenge data structures.MIT
- Convert DBN market data files to Parquet format for efficient storage and analysis. Specify input path, output path, and compression options.
- Query historical market data from Databento and export it to Parquet format for analysis, specifying dataset, symbols, schema, date range, and output path.