home / mcp / mcp server for data exploration
Provides an interactive data exploration server that loads CSV data and runs Python scripts to generate insights.
Configuration
View docs{
"mcpServers": {
"reading-plus-ai-mcp-server-data-exploration": {
"command": "uv",
"args": [
"--directory",
"/Users/username/src/mcp-server-ds",
"run",
"mcp-server-ds"
],
"env": {
"YOUR_API_KEY": "YOUR_API_KEY"
}
}
}
}MCP Server for Data Exploration lets you load CSV data and run Python-based scripts to derive insights through an interactive client. It provides prompts and lightweight tools to query datasets, generate summaries, and visualize patterns without writing boilerplate code.
You use an MCP client to connect to an MCP Server that is focused on data exploration. Start the client, choose the explore-data prompt template, and provide inputs like the path to your CSV file and a topic for exploration. The server loads the CSV into a DataFrame and exposes tools you can invoke to summarize, analyze correlations, or generate basic visual reports. You can iteratively refine your topic and inputs to drive deeper insights from your data.
Prerequisites: ensure Python is installed on your machine. You also need Claude Desktop if you plan to run the server through that client experience.
python setup.pyConfigurable server snippets are shown for local and published MCP server setups. Use these directly if you are running an MCP server in development or in production environments.
"mcpServers": {
"mcp_server_ds": {
"command": "uv",
"args": [
"--directory",
"/Users/username/src/mcp-server-ds",
"run",
"mcp-server-ds"
]
}
}"mcpServers": {
"mcp_server_ds": {
"command": "uvx",
"args": [
"mcp-server-ds"
]
}
}Tailored prompt for data exploration tasks that coordinates data loading, analysis, and reporting.
Loads a CSV file into a DataFrame for subsequent analysis.
Executes a Python script within the MCP environment.