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OuchiniKaeruMCP SERVER

MCP Data Analyzer

Point an assistant at a spreadsheet and get statistics and charts back, without writing the pandas yourself.

by OuchiniKaeru ↗Spreadsheet & Tabular File AnalysisCommunity

LABSCO SUMMARY

It closes the loop between the question and the chart.

The usual path for this is a model writing pandas code that you then paste into a notebook, which puts two manual steps between a question and an answer. Loading the file and rendering the chart inside the server removes both. The documentation is thin, so expect to learn the shape of the analysis by asking rather than by reading — the file formats and the two plotting libraries are what it commits to.

What it is

A data analysis server for local spreadsheet files. It loads .xlsx and .csv, runs statistical analysis on what it finds, and renders charts through matplotlib and plotly — so a question about a file is answered with a figure rather than a code snippet you then have to run.

What you get

  • Loading and analysing .xlsx and .csv files
  • Statistical analysis over the loaded data
  • Charts rendered with matplotlib
  • Interactive charts rendered with plotly
  • Local operation over files already on the machine, with nothing uploaded anywhere

Requirements

Python with uv. Clone the repository and run uv sync, then have the client launch it with uv --directory pointed at the checkout. Version 0.1.8. Transport is stdio.

Setup effort

Build from source — git clone https://github.com/OuchiniKaeru/mcp-data-analyzer.git

See installation options