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elastic

Elasticsearch MCP Server

Official
by elastic

search

Query Elasticsearch indices using query DSL with enabled highlights. Connect and interact with Elasticsearch data via the Elasticsearch MCP Server for precise search results.

Instructions

Perform an Elasticsearch search with the provided query DSL. Highlights are always enabled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indexYesName of the Elasticsearch index to search
queryBodyYesComplete Elasticsearch query DSL object that can include query, size, from, sort, etc.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Only mentions highlights are always enabled. No disclosure of read-only nature, error handling, pagination, or required permissions. With no annotations, more behavioral detail is needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences, front-loaded with the main action. No wasted words, though could be expanded with important behavioral notes without sacrificing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of Elasticsearch searches (query DSL), the description lacks return format, pagination behavior, and error context. Incomplete for a search tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% and already describes both parameters. The description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it performs an Elasticsearch search with query DSL, identifying the specific verb and resource. Distinguishes from sibling tools that handle index management, bulk operations, etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool over siblings (e.g., bulk, list_indices) or when not to use it. Lacks prerequisites or context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

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