MCPquality 0.56
Engineer Your Data
Data engineering tools for validation, transformation, visualization, and API integration
What it does
Data engineering tools for validation, transformation, visualization, and API integration
Provides 17 tools for data engineering workflows including file operations, data validation and quality checks, transformations (filter, aggregate, join, pivot, clean), visualization (charts, summaries, exports), and API integration. Built on pandas, numpy, matplotlib, and scikit-learn for local data pipeline development and business intelligence tasks.
Capabilities
mcptransport-stdioopen-source
Server
Quality
0.56/ 1.00
deterministic score 0.56 from registry signals: · indexed on pulsemcp · has source repo · 5 github stars · registry-generated description present
Provenance
Indexed frompulsemcp
Enriched2026-04-22 00:23:47Z · deterministic:mcp:v1 · v1
First seen2026-04-21
Last seen2026-04-22