mcp-server-data-exploration

MIT License

Overview InspectNew Schema Related Servers Reviews Score

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Schema

Prompts

Interactive templates invoked by user choice

Name	Description
`explore-data`	A prompt to explore a csv dataset as a data scientist

Resources

Contextual data attached and managed by the client

Name	Description
`Data Exploration Notes`	Notes generated by the data exploration server

Tools

Functions exposed to the LLM to take actions

Name	Description
`load_csv`	Load CSV File Tool Purpose: Load a local CSV file into a DataFrame. Usage Notes: • If a df_name is not provided, the tool will automatically assign names sequentially as df_1, df_2, and so on.
`run_script`	Python Script Execution Tool Purpose: Execute Python scripts for specific data analytics tasks. Allowed Actions 1. Print Results: Output will be displayed as the script’s stdout. 2. [Optional] Save DataFrames: Store DataFrames in memory for future use by specifying a save_to_memory name. Prohibited Actions 1. Overwriting Original DataFrames: Do not modify existing DataFrames to preserve their integrity for future tasks. 2. Creating Charts: Chart generation is not permitted.

load_csv

Load CSV File Tool Purpose: Load a local CSV file into a DataFrame. Usage Notes: • If a df_name is not provided, the tool will automatically assign names sequentially as df_1, df_2, and so on.

run_script

Python Script Execution Tool Purpose: Execute Python scripts for specific data analytics tasks. Allowed Actions 1. Print Results: Output will be displayed as the script’s stdout. 2. [Optional] Save DataFrames: Store DataFrames in memory for future use by specifying a save_to_memory name. Prohibited Actions 1. Overwriting Original DataFrames: Do not modify existing DataFrames to preserve their integrity for future tasks. 2. Creating Charts: Chart generation is not permitted.