elasticsearch-mcp-server
Provides an MCP (Model Context Protocol) server (implemented with Spring AI MCP) that exposes Elasticsearch operations as MCP tools. It supports cluster health/statistics, CAT endpoints for mappings/indices/aliases, shard allocation queries, and document search against Elasticsearch indexes (including an AI-generated queryDSL workflow).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
README indicates credentials can be provided via JVM -Dusername/-Dpassword (risk of leaking via process listings/logging if not handled carefully). It does not document MCP server-side authentication/authorization, tool-level permissioning, or request filtering. Elasticsearch connection hosts example uses http:// (may allow plaintext unless users configure https).
⚡ Reliability
Best When
You want to connect an MCP-capable agent client to an Elasticsearch cluster and expose a curated set of Elasticsearch operations as callable MCP tools (self-hosted).
Avoid When
You need strict rate-limit guarantees, robust documented error codes/retry behavior, or a turnkey secure authentication model for the MCP server itself without additional hardening.
Use Cases
- • Agent-driven Elasticsearch cluster monitoring (health, stats, shard allocation)
- • Schema exploration for indices and fields (mappings)
- • Discovery of indices/aliases using wildcard/name-based queries
- • Search and retrieval workflows over Elasticsearch documents through an MCP client
- • Building agentic data processing/search pipelines on top of Elasticsearch
Not For
- • Production-grade multi-tenant deployments without additional access control
- • Environments requiring fine-grained authorization per tool/operation by the MCP server itself
- • Teams needing a hosted SaaS API with a published SLA
Interface
Authentication
README describes optional passing of Elasticsearch credentials to the MCP server via command-line -Dusername/-Dpassword. It does not describe authentication for the MCP interface itself (i.e., access control to the MCP server).
Pricing
Self-hosted open-source-style project (per provided metadata license), so no vendor pricing described.
Agent Metadata
Known Gotchas
- ⚠ Document search tool relies on AI-generated queryDSL; unexpected query generation may produce broad/expensive searches.
- ⚠ Elasticsearch version compatibility is configuration-dependent (README mentions Elasticsearch 7.16+ and configurable client settings), so mismatches may cause tool failures.
Alternatives
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Scores are editorial opinions as of 2026-04-04.