A
licenseNot graded
qualityD
maintenanceEnables AI assistants to search, query, and manage Azure AI Search indexes using full-text, semantic, and vector search, alongside index and document operations.
MIT
Hermes Search MCP Server
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TDQS
A3.5/5.0
Scored across 3 tools
Disambiguation5/5
Each tool targets a distinct operation: deleting an index, indexing content, and searching documents. No overlap in purpose.
Naming Consistency5/5
All tools follow a consistent verb-noun pattern with hyphens (delete-index, index-content, search-documents), making them predictable.
Tool Count4/5
Three tools is on the low side but covers the core search lifecycle (index, search, delete). Slightly under but reasonable for a focused MCP server.
Completeness3/5
Missing critical operations like creating an index or listing indexes. The server assumes an existing index, limiting its standalone usability.
Maintenance
ActivityInactive
ResponsivenessNo issues