{"id":"silbaram-elasticsearch-mcp-server","name":"elasticsearch-mcp-server","homepage":null,"repo_url":"https://github.com/silbaram/elasticsearch-mcp-server","category":"search","subcategories":[],"tags":["mcp","elasticsearch","spring-boot","search","data-processing","agent-tools"],"what_it_does":"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).","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"],"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.","alternatives":["OpenSearch/Elasticsearch official APIs with a custom MCP wrapper you control","Spring AI MCP templates or other MCP server implementations for Elasticsearch","Direct Elasticsearch client usage from your application (without MCP)"],"af_score":48.8,"security_score":36.8,"reliability_score":31.2,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T19:39:18.604279+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":true,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Elasticsearch basic auth via JVM system properties (as implied by -Dusername/-Dpassword)"],"oauth":false,"scopes":false,"notes":"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":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Self-hosted open-source-style project (per provided metadata license), so no vendor pricing described."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":48.8,"security_score":36.8,"reliability_score":31.2,"mcp_server_quality":65.0,"documentation_accuracy":55.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":60.0,"rate_limit_clarity":10.0,"tls_enforcement":30.0,"auth_strength":45.0,"scope_granularity":20.0,"dependency_hygiene":50.0,"secret_handling":40.0,"security_notes":"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).","uptime_documented":0.0,"version_stability":55.0,"breaking_changes_history":45.0,"error_recovery":25.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"unknown","retry_guidance_documented":false,"known_agent_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."]}}