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67
/100
C ◉ Complete 55

Docs-MCP

An MCP server that allows users to efficiently search and reference user-configured documents through document listing, grep searching, semantic searching with OpenAI Embeddings, and full document retrieval.

AI & Machine Learning by herring101 ★ 3 Last commit: 9 months, 2 weeks ago
OpenAI
MCP Surface Tools: 4
Template Description
Complete visibility — 5/5 applicable dimensions scored
✓ Schema Quality ✓ Protocol — Reliability ✓ Docs & Maintenance ✓ Security Hygiene ✓ Schema Interpretability
Schema Quality
39
25% weight
Protocol Compliance
82
20% weight
Reliability
20% weight
Docs & Maintenance
68
15% weight
Security Hygiene
81
20% weight
Schema Interpretability
70
15% weight
30-Day Trend

Score History

Category Trends

30-Day Uptime

30 days ago Today

Static Analysis

Metric Score Rating
Schema Completeness 60 Fair
Description Quality 45 Fair
Documentation Coverage 65 Fair
Maintenance Pulse 46 Fair
Dependency Health 75 Good
License Clarity 100 Good
Version Hygiene 90 Good
Analyzed 1 month ago

Protocol Compliance

4
Tools Found
2ms
Tools/List
Fail
Schema Valid
100/100
Error Handling
100/100
Fuzz Score
Schema Issues (6)
get_doc.path: missing description
get_doc.page: missing description
grep_docs.pattern: missing description
grep_docs.ignore_case: missing description
semantic_search.query: missing description
semantic_search.limit: missing description
Probed 1 month ago
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