CSV Analytics MCP

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-csv-analytics-mcp

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What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

2 read · 1 write · 0 delete · 3 not yet classified

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Python package

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• aggregate

  Aggregate data with GROUP BY and compute metrics. Supported aggregation functions: sum, mean, min, max, count, median, std, first, last, nunique Args: name: Dataset name (from load_csv) group_by: List of columns to group by (e.g. ["department", "year"]) metrics: Dict of column -> aggregation function (e.g. {"salary": "mean", "id": "count"}) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit…

• describe_columns

  Get detailed statistics for every column in a dataset: - Numeric columns: mean, std, min, max, median, quartiles - Categorical columns: unique count, top 5 values with frequencies Args: name: Dataset name (from load_csv) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day rate limit. Pro tier: unlimited. No authentication required for basic usage. When to use: Use this tool when you need structured ana…

• export_chart_data

  Export data in a chart-ready format. Output is compatible with Chart.js, Plotly, or any visualization library. Includes labels and datasets arrays. Args: name: Dataset name (from load_csv) x_column: Column for the X axis / labels y_columns: List of columns for Y axis / data series chart_type: Suggested chart type (bar, line, scatter, pie) limit: Max data points (default: 50) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (ide…

• load_csv

  Load a CSV file into memory for analysis. The dataset is stored under a name (defaults to filename) and can be referenced in subsequent calls. Args: file_path: Absolute path to the CSV file name: Optional name for the dataset (default: filename without extension) delimiter: Column delimiter (default: comma) encoding: File encoding (default: utf-8) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any external systems, databases, or files. Safe to call repeatedly with identical inputs (idempotent). Free tier: 10/day …

• pivot_table

  Create a pivot table from a dataset. Reshapes data by grouping rows and spreading column values, similar to Excel pivot tables. Args: name: Dataset name (from load_csv) index: Column to use as row labels columns: Column whose unique values become new columns values: Column to aggregate aggfunc: Aggregation function (mean, sum, count, min, max, median, std) Behavior: This tool generates structured output without modifying external systems. Output is deterministic for identical inputs. No side effects. Free tier: 10/day rate limit. Pro tier: unlimited. No au…

• query_data

  Query a loaded dataset with filtering, column selection, and sorting. Uses pandas query syntax for filters: - 'age > 30' - 'city == "London" and salary > 50000' - 'status.isin(["active", "pending"])' Args: name: Dataset name (from load_csv) filter_expr: Pandas query expression for filtering rows columns: List of column names to return (default: all) sort_by: Column name to sort by ascending: Sort order (default: True) limit: Max rows to return (default: 100) Behavior: This tool is read-only and stateless — it produces analysis output without modifying any ext…

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Weekly downloads

69

Last commit

Sep 4, 2026 (1 month ago)

Last release

Jun 30, 2026 (4 months ago)

Last package publish

Jun 27, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.CSOAI-ORG/csv-analytics-mcp

Version

1.0.11

Auth

No auth

Packages

pypi csv-analytics-mcp

License

MIT

Repository

github.com/CSOAI-ORG/csv-analytics-mcp

First seen

Oct 24, 2026

Last checked

Oct 25, 2026

Source

Official MCP Registrygithub-graphql