Build, parse, or analyze Content-Security-Policy headers with severity-ranked warnings. Assemble directives or audit existing policies for misconfigurations.
MIT
191,811 tools. Last updated 2026-06-11 06:07
"Apache Parquet" matching MCP tools:
- Execute SQL queries against the in-process chDB OLAP engine to analyze data from Parquet, CSV, JSON, and pandas DataFrames. Returns results in multiple formats with configurable limits.Apache 2.0
- Generate Apache .htaccess file text for security, redirects, caching, compression, and access control using structured options. No file writing; returns the text for copying.MIT
- Parse Apache, nginx, syslog, JSON Lines, and systemd journal logs into structured rows, then filter, aggregate, or convert them for analysis.MIT
- 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
- 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
- AlicenseCqualityBmaintenanceProvides a standardized way for MCP clients to interact with Apache Airflow's REST API, supporting operations like DAG management and monitoring Airflow system health.Last updated68166MIT
- Alicense-qualityCmaintenanceParquet MCP Server by CDataLast updatedMIT
Matching MCP Connectors
Content-addressed, ed25519-signed memory of every place on Earth. Apache-2.0, no keys for reads.
Standardize, reshape, and normalize messy data — CSV, Excel, Parquet, S3, databases.
- Generates Apache 2.4, nginx, and Caddy 2 configuration files from a single structured input, including TLS, reverse proxy, PHP-FPM, static file serving, security headers, and logging.MIT
- Lists all Apache Airflow DAGs with metadata including status, schedule, tags, and owners for workflow discovery and monitoring.Apache 2.0
- 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
- Create polar line plots from SQL queries on CSV or Parquet data sources. Visualize radial and angular coordinates with optional color coding for multi-dimensional analysis.MIT
- Create box plots from SQL query results on CSV or Parquet data sources to visualize statistical distributions and identify outliers in your data.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 data files from absolute paths or URLs and analyze to return DataFrame information and metadata. Supports CSV, JSON, HTML, Excel, ODS, Parquet.
- Visualize data distribution patterns by creating a 2D histogram from SQL query results. Generate density heatmaps for CSV and Parquet data sources to analyze spatial relationships and concentration areas.MIT
- Create bar charts from SQL query results on CSV, Parquet, or database sources to visualize data relationships and trends for analysis.MIT
- Download prediction challenge inference data for specified periods to a local .parquet file, with optional polling for availability.MIT
- Execute SQL queries on CSV and Parquet data sources using DuckDB syntax to retrieve structured results for data analysis and visualization.MIT
- Download specific training datasets from CrowdCent prediction challenges to a specified .parquet file path for model training and analysis.MIT
- Create polar scatter plots by querying data sources with SQL. Visualize radial and angular coordinates from query results as scatter points on a polar coordinate system.MIT