"Elastic Stack" matching MCP servers:

Health doctor for a home AI stack (Ollama nodes, GPUs, tailnet) with graded confidence, as a CLI, an MCP server and a DSH plugin.

MCP server for profiling Python processes using py-spy, supporting flamegraphs, stack dumps, and performance comparisons.

A read-only MCP server that gives AI assistants natural language access to Elasticsearch/Kibana logs for querying and analysis.

Small production-oriented MCP server for diagnosing incidents from Elasticsearch logs with unknown schema. It provides tools for log discovery, retrieval, and issue diagnosis.

Provides comprehensive tools for managing Elasticsearch clusters, including security management, search operations, and index administration. It enables users to monitor cluster health, handle InfoSec tasks, and execute complex queries using Elasticsearch Query DSL and ES|QL.

Brings interactive blue-team security operations into AI hosts, enabling alert triage, attack discovery, case management, detection rules, threat hunting, and sample data generation with rich inline UIs.

Enables querying and analysis of a unified database of security detection rules across multiple formats, including Sigma, Splunk, Elastic, KQL, and CrowdStrike CQL.

Enables an AI assistant to query local AI stack status, incidents, logs, GPU metrics, and service history, and to trigger restarts through MCP tools.

Provides 45 tools for monitoring and managing a Docker-based media stack, including Sonarr, Radarr, and other services.

A token-efficient MCP server for MySQL, PostgreSQL, and SQLite, providing tools to query databases, execute SQL, and analyze query performance.

Connects to Elastic Agent Builder to enable AI-powered application health monitoring using OTEL metrics, traces, and logs from Elastic Serverless Observability.

An MCP server that downloads Elasticsearch logs from Elastic Cloud via the Admin API.

Enables retrieval of error stack traces by transaction ID from OpenSearch logs, supporting configurable connection settings and Docker deployment.

Enables AI coding agents and other MCP hosts to read Elastic Cloud logs across multiple regions using six read-only tools for overviews, deduplicated error patterns, compact searches, context lookup, full log retrieval, and bulk JSONL export.

Enables querying and searching logs from Kibana (ELK stack) via MCP, with support for project-based data views, trace ID correlation, and log expansion.

A production-oriented, read-only MCP server for secure ELK stack analysis, compatible with OpenClaw.

An MCP server that connects to Sentry.io or self-hosted Sentry instances to retrieve and analyze error reports, stack traces, and debugging information.

MCP server that diagnoses Apache Spark job failures and optimizes performance using stack-trace analysis and LLM providers, supporting EMR and local sources.

An MCP server for the ProveTrade trade-audit stack that lets models validate CSVs, run paid audit runs, and check service health/deploy status via typed tools.

Software end-of-life intelligence for AI agents: EOL dates, support timelines and 0-100 upgrade risk scores for 480+ products. Check whether a version is still supported, score its risk, or audit an entire stack.