A
licenseNot graded
qualityD
maintenanceTransforms Elasticsearch into an AI-powered observability engine for analyzing logs, APM traces, and system metrics through natural language.
4
Apache 2.0
elasticsearch-mcp
by bpamiri
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TDQS
A3.7/5.0
Scored across 18 tools
Disambiguation5/5
Each tool has a clearly distinct purpose. Aggregation tools are differentiated by type (general, date histogram, terms), search tools by query language, and cluster/index/document operations cover separate concerns without overlap.
Naming Consistency5/5
All tool names follow a consistent snake_case convention with descriptive verb-noun patterns (e.g., list_indices, get_document, search_simple), making them predictable and easy to navigate.
Tool Count5/5
18 tools is appropriate for an Elasticsearch MCP server, covering connection, cluster, indices, documents, search, and aggregations without being excessive or insufficient.
Completeness2/5
The tool set lacks fundamental CRUD operations for indices (create, delete, update) and documents (create, update, delete), leaving significant gaps for basic data management tasks.
Maintenance
ActivityInactive
ResponsivenessNo issues