Stats Compass
by oogunbiyi21communityv0.3.0
15
3
Stats Compass is an MCP server that enables users to perform data analysis tasks using various data science tools integrated with LLMs.
From the registry: 50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows
Install & configure
Prerequisites
- requiredPython 3.11+Python 3.11 or newer required
$ python --version
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `stats-compass` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Python 3.11+** — Python 3.11 or newer required Run: `python --version`
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["stats-compass-mcp","run"]
- optional environment variables:
- `STATS_COMPASS_PORT`: Server port for remote/HTTP mode (example: `8000`)
- `STATS_COMPASS_SERVER_URL`: Base URL for upload/download links (example: `http://localhost:8000`)
- `STATS_COMPASS_MAX_UPLOAD_MB`: Max upload size in MB (example: `50`)
Note: Data science MCP for LLMs. Install via: pip install stats-compass-mcp. Tools for data loading (CSV/Excel), cleaning, transforms, EDA, visualization, and ML workflows. Also supports HTTP server mode via stats-compass-mcp serve --port 8000.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: Data science MCP for LLMs. Install via: pip install stats-compass-mcp. Tools for data loading (CSV/Excel), cleaning, transforms, EDA, visualization, and ML workflows. Also supports HTTP server mode via stats-compass-mcp serve --port 8000.
Tools (6)
data loading
Load CSV/Excel files and sample datasets.
cleaning
Drop nulls, impute, dedupe, and handle outliers.
transforms
Filter, groupby, pivot, encode, and add columns.
EDA
Perform exploratory data analysis including descriptions and hypothesis tests.
visualization
Create various plots such as histograms and scatter plots.
ML workflows
Support for classification, regression, and time series forecasting.
Environment variables
STATS_COMPASS_SERVER_URLrequiredBase URL for upload/download links.Prerequisites
- • Python 3.11+
Packages
stats-compass-mcp
pypiv0.3.0transport: stdio
Details
- Language
- Python
- License
- MIT
- Released
- Apr 12, 2026
- Last commit
- Apr 14, 2026
- Registry name
- io.github.oogunbiyi21/stats-compass