73
/100
B
◉ Complete 5⁄5
Combined MCP Server
Integrates Redshift database query capabilities with vector-based knowledgebase tools for semantic search and RAG applications. It enables users to execute SQL queries, explore database schemas, and perform hybrid semantic searches on markdown files stored in S3.
Glama
MCP Surface
Tools: 7
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
72
25% weight
Protocol Compliance
82
20% weight
Reliability
—
20% weight
Docs & Maintenance
36
15% weight
Security Hygiene
80
20% weight
Schema Interpretability
87
15% weight
Score History
Category Trends
30-Day Uptime
30 days ago
Today
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 80 | Good |
| Description Quality | 60 | Fair |
| Documentation Coverage | 45 | Fair |
| Maintenance Pulse | 50 | Fair |
| Dependency Health | 55 | Fair |
| License Clarity | — | Poor |
| Version Hygiene | — | Poor |
Analyzed 1 month ago
Protocol Compliance
Schema Issues (15)
run_query.sql: missing description
run_query.db_user: missing description
run_query.db_group: missing description
list_schemas.db_user: missing description
list_schemas.db_group: missing description
list_tables.schema: missing description
list_tables.db_user: missing description
list_tables.db_group: missing description
describe_table.schema: missing description
describe_table.table: missing description
describe_table.db_user: missing description
describe_table.db_group: missing description
query_vectorstore.query: missing description
query_vectorstore.top_k: missing description
query_vectorstore.search_type: missing description
Probed 1 month, 1 week ago
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