Elasticsearch MCP Server
OfficialRelated Servers
Alternatives to Elasticsearch MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityCmaintenanceConnects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.1171 npm23MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI-powered business intelligence queries on Elasticsearch data using natural language and Claude integration via MCP.-
- AlicenseAqualityAmaintenanceEnables MCP clients to connect to and interact with Elasticsearch 7.x clusters through natural language, supporting search, indexing, mappings, templates, cluster health, and optional diagnostic or destructive tools.17MIT
- AlicenseBqualityDmaintenanceConnects to Elasticsearch databases using the Model Context Protocol, allowing users to query and interact with their Elasticsearch indices through natural language conversations.47 npmApache 2.0
- AlicenseNot gradedqualityDmaintenanceConnects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through tools for listing indices, getting field mappings, performing searches, and viewing shard information.2,662 npmApache 2.0
- AlicenseBqualityAmaintenanceFacilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.20308Apache 2.0
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: get_mappings retrieves field mappings for a specific index, list_indices enumerates all indices, and search performs query-based searches. There is no overlap in functionality, making tool selection unambiguous.
All tool names follow a consistent verb_noun pattern (get_mappings, list_indices, search), with clear and descriptive verbs that align with their actions. No deviations or mixed conventions are present.
With only 3 tools, the set feels thin for an Elasticsearch server, as it lacks essential operations like creating/deleting indices, updating mappings, or performing CRUD operations on documents. While the tools are well-defined, the count is borderline for the domain's scope.
There are significant gaps in the tool surface for Elasticsearch functionality. Missing operations include index creation/deletion, document indexing/updating/deleting, and cluster management. This incompleteness will likely cause agent failures when attempting full workflows.