Data Pipeline

Use ToolsAdvanced

Chain multiple MCP tools to process and transform data step by step.

Pipeline Flow

📥

Load

load_json, load_csv

🔄

Transform

filter, map, sort

📊

Aggregate

aggregate

📤

Output

output, clear

Example: Process Sales Data

1. load_csv: "product,price,qty\nApple,1.5,100\nBanana,0.75,200\nOrange,2,50"
2. filter: field="qty", operator="gt", value="50"
3. map: "{ product: item.product, total: item.price * item.qty }"
4. sort: field="total", order="desc"
5. output: format="table"

Data Pipeline MCP Server

Data Pipeline Server

ETL-style data processing

Success Criteria

✓Load data from JSON or CSV
✓Filter, transform, and sort data
✓Calculate aggregates (sum, avg, min, max)
✓Output in multiple formats