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Data & Analytics MCP Server

Stats Compass

50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows

Scan flagged something by oogunbiyi2112MITPythonIntermediatestdio
View on GitHub Install Guide

Install

Claude Code

claude mcp add stats-compass-mcp -- uvx stats-compass

Safety Report

67% Scan flagged something
Scanned 5 months ago
4 passed 1 warnings 1 failed
Security
Authentication
details

No authentication mechanism detected in source code

Fail
CORS Policy
details

No CORS-relevant transport detected (likely stdio)

N/A
Rate Limiting
details

No rate limiting mechanism detected

Info
Known CVEs
details

No known CVEs in dependencies

Pass
Code Quality
Dependency Audit
details

No known vulnerable dependencies detected

Pass
Dangerous Patterns
details

No dangerous code patterns detected

Pass
License
details

License: MIT

Pass
Community
Maintenance Status
details

Last commit 5 months ago

Warning

Learn about our security methodology →

Compatibility

Claude CodeFull support
Tested
CursorFull support
Tested
VS CodeFull support via Copilot
Tested
WindsurfFull support
Tested
Claude DesktopFull support
Tested

Frequently Asked Questions

What is Stats Compass?

50+ pandas-powered tools for data loading, cleaning, visualization, and ML workflows

Is Stats Compass safe to use?

We cannot tell you that, and nobody scanning at this scale can. What we did in March 2026 was shallow-clone Stats Compass and run five keyword searches over its source: auth identifiers, CORS configuration, rate-limit identifiers, the dependency manifest against a hardcoded list of 18 known-vulnerable packages, and unguarded eval/exec calls. At least one matched — the specific finding is in the scan report on this page. A text search cannot follow a variable, judge intent, or tell you what a server does once it is running, so "nothing matched" is not "safe". What the scan does and does not cover is written out at /mcp/security.

What are alternatives to Stats Compass?

Similar MCP servers include MCP Server Chart, Vizro MCP, Markdownify MCP. Each serves a similar purpose but may differ in features, language, and compatibility.

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