Export partner-wide search keyword data as JSON or CSV. Filter by date range and aggregation period.
MIT
318,125 tools. Last updated 2026-07-28 21:12
"Exploring and Analyzing CSV Data with Statistics, Filters, and Aggregation" matching MCP tools:
- Retrieve biological data from Biomart by specifying attributes and filters, returning results in CSV format. Use this tool to query datasets efficiently and apply custom filters for targeted data extraction.MIT
- Save the complete simulation state to a CSV file, including all turtles, patches, and links. Ideal for checkpointing or offline analysis.MIT
- Analyze large files (CSV, Excel, PDF, JSON) and get a token-efficient summary with schema, statistics, and sample data in ~300-500 tokens.MIT
- Create an interactive HTML dashboard from CSV or Excel files. Analyzes data to produce charts, statistics, correlations, insights, and a sortable table for easy data exploration.MIT
- Build time-windowed aggregation queries by specifying a table, metric column, aggregation function, and optional time column with interval for grouping. No raw SQL needed.MIT
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Matching MCP Connectors
CSV <-> JSON MCP.
Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)
- Retrieve authorization transaction data with amounts, counts, user/card details, and merchant info. Supports detail, day, week, or month aggregation. Apply filters and sorting; results limited to 10,000 records per query.MIT
- Parse CSV data from string content into a DataBeak session for analysis and transformation. Configure delimiter and header detection to prepare data for processing.Apache 2.0
- Transform data between JSON, YAML, CSV, markdown, and code formats using field mapping, filtering, sorting, aggregation, and Jinja2 templates for custom output formatting.MIT
- Export XBRL facts as a CSV file for spreadsheet analysis. Customize columns and filters to extract specific financial data.Apache 2.0
- Open a draw.io editor with a diagram generated from CSV data, using draw.io's CSV import format to create org charts, flowcharts, and other diagrams from tabular data.AGPL 3.0
- Analyze column statistics, data distributions, and sample records by profiling a table. Obtain cardinality, null counts, and top value frequencies.MIT
- Query APRA banking, superannuation, and insurance data with filters for institution, sector, measures, and time periods. Retrieve observations in records, series, or CSV format.MIT
- Load CSV data from a URL into a DataBeak session for analysis. Downloads, parses with security validation, and returns a session ID with data preview.Apache 2.0
- Generate diagrams in draw.io from CSV data or a URL to CSV data, creating org charts, flowcharts, and other visualizations using tabular input.MIT
- Bidirectionally convert CSV and JSON. CSV first row becomes headers for JSON keys, and vice versa.MIT
- Parse SIPp CSV output files to extract and display call statistics and performance metrics.MIT
- Detect OutGuess steganography in JPEG files by analyzing second-order statistics and inter-block DCT coefficient correlations to uncover hidden data.MIT
- Export campaign performance data as a CSV file for specified time periods and metrics to analyze marketing results.MIT
- Analyze CSV file structure by extracting schema, row count, and column statistics to understand data composition and prepare for further processing.