CSV Analytics MCP Server
Provides tools to export data in Chart.js compatible format for creating visualizations, enabling AI agents to generate chart-ready datasets for web-based charting libraries.
Provides tools to export data in Plotly compatible format for creating visualizations, enabling AI agents to generate chart-ready datasets for interactive plotting libraries.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@CSV Analytics MCP Serverload the sales.csv file and show me the top 5 highest amounts"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Csv Analytics MCP
MCP server for csv analytics mcp operations
Overview
Csv Analytics MCP provides AI-powered tools via the Model Context Protocol (MCP).
Tools
Tool | Description |
| Load a CSV file into memory for analysis. The dataset is stored under |
| Query a loaded dataset with filtering, column selection, and sorting. |
| Get detailed statistics for every column in a dataset: |
| Aggregate data with GROUP BY and compute metrics. |
| Export data in a chart-ready format. Output is compatible with Chart.js, |
| Create a pivot table from a dataset. Reshapes data by grouping rows |
Installation
pip install meok-csv-analytics-mcpUsage with Claude Desktop
Add to your Claude Desktop MCP config (claude_desktop_config.json):
{
"mcpServers": {
"csv-analytics-mcp": {
"command": "python",
"args": ["-m", "meok_csv_analytics_mcp.server"]
}
}
}Usage with FastMCP
from mcp.server.fastmcp import FastMCP
# This server exposes 6 tool(s) via MCP
# See server.py for full implementationLicense
MIT © MEOK AI Labs
This server cannot be installed
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