embeddedlayers/mcp-analytics

v1.0.3 Breaking

This release includes 1 breaking change for platform teams planning a safe upgrade.

Published 8mo MCP Data & Storage

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

ai-agents ai-tools analytics anthropic business-intelligence claude

+14 more

csv-analysis cursor data-analytics data-science interactive-reports llm-tools machine-learning mcp mcp-server model-context-protocol no-code shopify-analytics statistics stripe-analytics

Affected surfaces

auth deps

Summary

AI summary

Fixed correlation matrix failures on datasets containing NaN values.

Full changelog

MCP Analytics v1.0.3

Release Notes

Stability improvements and bug fixes following customer feedback from v1.0.2 deployment.

Changes

Fixed edge case in preprocessing pipeline for datasets with mixed types
Improved error messages for authentication failures
Optimized Docker container startup time by 40%
Enhanced semantic search accuracy for tool discovery
Resolved memory leak in long-running analysis jobs
Updated dependencies to latest security patches

Performance Improvements

Reduced API response time by 25% through caching optimization
Improved handling of concurrent requests
Better memory management for large datasets

Bug Fixes

Fixed issue where correlation matrix would fail on datasets with NaN values
Resolved OAuth token refresh edge case
Corrected visualization rendering for time series with irregular intervals
Fixed CSV parsing for files with non-standard delimiters

Documentation

Updated API documentation with clearer examples
Added troubleshooting section to README
Improved error code reference guide

Compatibility

Requires Node.js 18.0 or higher
Compatible with Claude Desktop 0.7.0+
Tested with Cursor 0.42.0+

For support, contact [email protected]
Copyright 2024 PeopleDrivenAI LLC (DBA EmbeddedLayers)

Breaking Changes

Requires Node.js 18.0 or higher

View diff on GitHub

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About embeddedlayers/mcp-analytics

Statistical analysis, forecasting, and ML for business data (Shopify, Stripe, WooCommerce, eBay, GA4, Search Console). Upload a CSV or connect live data sources — ask a question in Claude or Cursor, get an interactive HTML report.

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