csv-analytics-mcp MCP server by MEOK AI Labs
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-csoai-org-csv-analytics-mcp": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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csv-analytics-mcp MCP server by MEOK AI Labs
No automated test available for this server. Check the GitHub README for setup instructions.
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Csv Analytics MCP provides AI-powered tools via the Model Context Protocol (MCP).
| Tool | Description |
|---|---|
load_csv | Load a CSV file into memory for analysis. The dataset is stored under |
query_data | Query a loaded dataset with filtering, column selection, and sorting. |
describe_columns | Get detailed statistics for every column in a dataset: |
aggregate | Aggregate data with GROUP BY and compute metrics. |
export_chart_data | Export data in a chart-ready format. Output is compatible with Chart.js, |
pivot_table | Create a pivot table from a dataset. Reshapes data by grouping rows |
pip install meok-csv-analytics-mcp
Add to your Claude Desktop MCP config (claude_desktop_config.json):
{
"mcpServers": {
"csv-analytics-mcp": {
"command": "python",
"args": ["-m", "meok_csv_analytics_mcp.server"]
}
}
}
from mcp.server.fastmcp import FastMCP
# This server exposes 6 tool(s) via MCP
# See server.py for full implementation
MIT © MEOK AI Labs