mcp-edd-analytics-vantage

Name: mcp-edd-analytics-vantage Review
Item: mcp-edd-analytics-vantage
Rating: 2.3
Author: Aaron Matthews

Connector Data & Analytics Poor

EDD MCP Server: Easy Digital Downloads API for Sales, Analytics & Products 2026

Ask Claude to analyze sales trends across your Easy Digital Downloads store for the past quarter.
Generate a product performance report showing top sellers and revenue by item.
Find customer purchase patterns to identify which products drive repeat business.

151 starsFreeNo code needed

Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Why it matters

Connects Easy Digital Downloads data directly to Claude, enabling real-time sales analytics and product performance visibility without manual API calls or data exports. Reduces reporting overhead and surfaces actionable insights faster.

Best for

E-commerce teams and digital product businesses needing automated sales dashboards and revenue analysis integrated with AI-assisted decision-making.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/dhapat3927/mcp-edd-analytics-vantage

By dhapat3927

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add mcp-edd-analytics-vantage -- npx -y mcp-edd-analytics-vantage

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars151Last updated2026-07-02Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-02 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 151 GitHub stars; contributors unknown; last commit 0d ago; license no license.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

1/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score2.30 / 5.00 PoorEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 151 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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