58
/100
C
◉ Complete 5⁄5
Semantic Search MCP Server
Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.
Glama
MCP Surface
Tools: 1
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
66
25% weight
Protocol Compliance
82
20% weight
Reliability
—
20% weight
Docs & Maintenance
21
15% weight
Security Hygiene
77
20% weight
Schema Interpretability
29
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 70 | Good |
| Description Quality | 60 | Fair |
| Documentation Coverage | 30 | Poor |
| Maintenance Pulse | 25 | Poor |
| Dependency Health | 30 | Poor |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 1 month, 1 week ago
Protocol Compliance
Schema Issues (2)
semantic_search.query: missing description
semantic_search.path: missing description
Probed 1 month, 2 weeks ago
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