← Back to leaderboard
65
/100
C ◉ Complete 54

CodeSense MCP

Provides semantic code intelligence to help users search, navigate, and analyze entire codebases using plain English. It enables Claude to perform architectural overviews, bug detection, and refactor suggestions through local semantic search and keyword indexing.

AI & Machine Learning by attaelahi Last commit: 2 months ago
Anthropic
Complete visibility — 5/4 applicable dimensions scored
✓ Schema Quality ✓ Protocol — Reliability ✓ Docs & Maintenance ✓ Security Hygiene ✓ Schema Interpretability
Schema Quality
70
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
45
25% weight
Security Hygiene
87
33% weight
Schema Interpretability
92
15% weight
30-Day Trend

Score History

Category Trends

Static Analysis

Metric Score Rating
Schema Completeness 60 Fair
Description Quality 85 Good
Documentation Coverage 40 Fair
Maintenance Pulse 45 Fair
Dependency Health 30 Poor
License Clarity 100 Good
Version Hygiene Poor
Analyzed 1 month, 1 week ago
Embed Badge

Add this to your README to display your MCP Scoreboard grade:

MCP Score Badge
[![MCP Score](https://mcpscoreboard.com/badge/a90f7f06-dd82-4e38-b671-c78f152d2b86.svg)](https://mcpscoreboard.com/server/a90f7f06-dd82-4e38-b671-c78f152d2b86/)