{"id":"starsky-iflow-elasticsearch-mcp-server","name":"starsky-iflow-elasticsearch-mcp-server","af_score":40.5,"security_score":50.0,"reliability_score":25.0,"what_it_does":"MCP (Model Context Protocol) server that exposes Elasticsearch operations (via Starsky iFlow integration) to LLM/AI agents through MCP tools, enabling querying and indexing/search workflows against an Elasticsearch backend.","best_when":"You already have Elasticsearch running and want an MCP tool layer so agents can query Elasticsearch with minimal custom integration work.","avoid_when":"You cannot control or scope Elasticsearch credentials used by the MCP server, or you need strong guarantees around idempotency/retries for write operations.","last_evaluated":"2026-04-04T21:43:43.110690+00:00","has_mcp":true,"has_api":false,"auth_methods":["Elasticsearch authentication (configured for the backend); MCP transport/auth not confirmed from provided data"],"has_free_tier":false,"known_gotchas":["Agents may issue broad/expensive Elasticsearch queries; ensure query size limits and timeouts are enforced.","If the MCP server exposes write/index tools, retries without idempotency could duplicate documents—guard with deterministic IDs or explicit upsert semantics.","Ensure the Elasticsearch user used has least-privilege (read-only for retrieval use cases).","LLMs may construct unsafe queries; apply allowlists for index names, fields, and query types where possible."],"error_quality":0.0}