elasticsearch-mcp
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TDQS
Scored across 34 tools
Each tool addresses a distinct concern: query execution, DSL generation, SQL translation, pagination, health, snapshots, async tasks, and writes. Even the seemingly similar search tools are clearly separated by their input format and use case, so an agent can select the right one with confidence.
Many names follow a verb_noun pattern like list_indices, create_snapshot, and run_query, but there are many noun-first or adjective-noun exceptions such as cluster_health, shard_allocation, field_caps, snapshot_status, sql_query, and bulk_index. The naming is readable and snake_case throughout, but the conventions are mixed enough that the pattern is not predictable.
34 tools is a heavy surface for an agent to navigate, especially since several areas such as cluster diagnostics, query generation, and snapshot management could be consolidated. While the breadth is understandable for Elasticsearch, the count exceeds what is typically needed for a coherent, easy-to-use tool set.
The server covers a wide range of operations: search, query generation, SQL, mappings, cluster health, slow-query investigation, snapshots, reindexing, async tasks, settings, aliases, and document writes. However, some core lifecycle operations are missing: no create_index, delete_index, close/open index, get document by id, delete snapshot, or single-document delete, which can create dead ends in common workflows.