Elastic MCP Server
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Scored across 37 tools
Most tools have distinct purposes targeting specific resources like indices, users, roles, or cluster operations, with clear boundaries. However, some overlap exists between cluster_info and cluster_stats (both provide cluster information), and between get_index and get_index_stats (both retrieve index details), which could cause minor confusion but descriptions help differentiate them.
Tool names follow a highly consistent snake_case pattern with clear verb_noun conventions throughout, such as create_index, delete_user, list_roles, and get_document. There are no deviations in naming style, making the set predictable and readable.
With 37 tools, the count feels heavy for an Elasticsearch server, bordering on excessive. While Elasticsearch has a broad API surface, this many tools may overwhelm agents and could be streamlined by grouping related operations or omitting less critical ones, though it's not extreme.
The tool set provides comprehensive coverage of Elasticsearch's core domains, including CRUD operations for indices, documents, users, roles, and API keys, along with cluster management, search, and monitoring. There are no obvious gaps; all major workflows are supported, ensuring agents can handle typical tasks without dead ends.