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604,334 tools. Updated 2026-09-23 18:48

"Exploring and Analyzing CSV Data with Statistics, Filters, and Aggregation" matching MCP tools:

  • Retrieve historical air quality and meteorological data for any location on Earth using Copernicus CAMS reanalysis and ERA5 data. Specify a bounding box, time range, variables, and aggregation to get CSV or stats output.
    MIT
  • Access nationwide HMDA mortgage aggregates to examine lending trends and fair lending patterns. Filter by year, demographics, loan types, and actions taken.
    MIT
  • Retrieve mortgage lending aggregation data filtered by state, MSA/MD, county, or institution (LEI), with demographic filters such as race, sex, and loan type.
    MIT
  • Join data from multiple SAP tables with proper joins and aggregation, using depends_on to filter master data and avoid timeouts.
    MIT

Matching MCP Servers

  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.
    AGPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
    1
    GPL 3.0

Matching MCP Connectors

  • Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)

  • CSV <-> JSON MCP.

  • Retrieve declined transaction data with transaction tokens, decline reasons, merchant details, and amounts. Aggregate by detail, day, week, or month. Apply filters and sort for targeted analysis.
    MIT
  • List your NACE industry-monitoring subscriptions, showing webhook, event filters, aggregation mode, and active state. Use returned IDs to delete or manage them.
    Apache 2.0
  • 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 CSV, Excel, PDF, or JSON files and get a token-efficient summary with schema, statistics, and sample data. Use this to understand file contents without pasting thousands of rows into chat.
    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
  • 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
  • Retrieve clearing and reconciliation data with accounting-level line items. Supports detail, day, week, or month aggregation for transaction lifecycle analysis. Use for financial reconciliation. Filter by date ranges and fields.
    MIT
  • Export filtered invoices to CSV. Supports filters by status, direction, date range, client, and more. Returns UTF-8 CSV with BOM for Excel compatibility.
    Elastic 2.0
  • Construct SDMX REST API data URLs for CSV, JSON, or XML downloads, using dataflow, filters, and time period parameters.
    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
  • Calculate aggregate statistics for CSV fields, including min/max, mean, median, stdDev for numeric columns and top values for categorical columns.
    MIT