{"id":"starsky-iflow-elasticsearch-mcp-server","name":"starsky-iflow-elasticsearch-mcp-server","homepage":"https://pypi.org/project/starsky-iflow-elasticsearch-mcp-server/","repo_url":null,"category":"search","subcategories":[],"tags":["mcp","elasticsearch","search","retrieval","ai-agents","data-access"],"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.","use_cases":["Agent-assisted Elasticsearch search and retrieval (e.g., find documents by query)","Automated data exploration/triage over indexed content","LLM-driven operational tasks that require Elasticsearch reads/writes","Building agent workflows that need retrieval from an Elasticsearch-backed dataset"],"not_for":["Producing or managing Elasticsearch cluster infrastructure (nodes, shard allocation, scaling) as a full admin console","Security-sensitive production operations without reviewing tool permissions and Elasticsearch access controls","High-throughput bulk ingestion without explicit batching/idempotency guarantees"],"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.","alternatives":["Direct Elasticsearch REST API integration (Elasticsearch client)","A dedicated retrieval layer or vector search service with a stable API","LangChain/LlamaIndex Elasticsearch integrations (depending on your stack)","A generic MCP-to-REST gateway that wraps Elasticsearch endpoints with your own guardrails"],"af_score":40.5,"security_score":50.0,"reliability_score":25.0,"package_type":"mcp_server","discovery_source":["pypi"],"priority":"low","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-04-04T21:43:43.110690+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 authentication (configured for the backend); MCP transport/auth not confirmed from provided data"],"oauth":false,"scopes":false,"notes":"The package is an MCP server wrapper around Elasticsearch; the primary auth is expected to be the Elasticsearch credentials. MCP client/server authentication and any tool-level auth/scoping are not verifiable from the provided prompt content."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"No pricing information provided; MCP server is typically self-hosted with infrastructure costs (Elasticsearch)."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":40.5,"security_score":50.0,"reliability_score":25.0,"mcp_server_quality":60.0,"documentation_accuracy":40.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":60.0,"rate_limit_clarity":20.0,"tls_enforcement":70.0,"auth_strength":50.0,"scope_granularity":30.0,"dependency_hygiene":50.0,"secret_handling":50.0,"security_notes":"Security posture depends largely on (1) Elasticsearch credential strength and least-privilege, and (2) whether the MCP server enforces TLS, authenticates MCP clients, and restricts which indices/operations tools can perform. These specifics are not confirmed from the provided prompt content, so scores reflect uncertainty and typical risks for self-hosted MCP-to-data connectors (credential leakage, over-broad permissions, unsafe queries).","uptime_documented":0.0,"version_stability":40.0,"breaking_changes_history":30.0,"error_recovery":30.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_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."]}}