MCP Server for Data Exploration
Your personal data scientist assistant — explore CSV datasets with Claude through autonomous Python analysis.
Add to your client
Copy the config for your MCP client and paste it into its config file.
uvx mcp-server-dsPaste into ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-server-for-data-exploration": {
"command": "uvx",
"args": [
"mcp-server-ds"
]
}
}
}Requires `uv` (the Python package runner). Install it from https://docs.astral.sh/uv/ if `uvx` is not found.
Step-by-step guides: Add to Claude Desktop · Add to Cursor · Add to Windsurf
Before you start
- Claude Desktop (or another MCP client)
- uv / uvx (Python package runner) installed
- Python environment for running analysis scripts
About MCP Server for Data Exploration
An MCP server that lets Claude perform autonomous data exploration over local CSV files. It loads CSVs into pandas DataFrames and runs Python scripts to compute statistics, generate reports, and create visualizations, guided by a built-in explore-data prompt template.
Tools & capabilities (2)
load-csvLoads a CSV file into a DataFrame. Arguments: csv_path (string, required) — path to the CSV file; df_name (string, optional) — name for the DataFrame, defaults to df_1, df_2, etc.
run-scriptExecutes a Python script. Arguments: script (string, required) — the script to execute.
When to use it
- Analyzing housing price trends across a multi-million-row real estate dataset
- Exploring weather patterns and producing temperature, humidity, and wind charts
- Turning large CSV datasets into summaries and reports without manual coding
Security notes
The run-script tool executes arbitrary Python code on the host machine, and load-csv reads files from the local filesystem. Only run this server against data and scripts you trust, since the model can execute any Python it generates.
MCP Server for Data Exploration FAQ
How do I start exploring a dataset?
In Claude Desktop, select the explore-data prompt template from MCP, then provide the required inputs: csv_path (local path to the CSV file) and topic (the subject of exploration, e.g. "Weather patterns in New York").
How do I install it?
On macOS you can run `python setup.py` in the repo, or add the server to your Claude Desktop config. For the published package use command `uvx` with args `mcp-server-ds`; for local development use `uv` with `--directory` pointing at your checkout.
Is it safe to run?
The run-script tool executes arbitrary Python on your machine, so only use it with datasets and analyses you trust.
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