"JavaScript逆向工程技术与方法" matching MCP servers:

Enables read-only querying and analysis of Kibana logs through a logged-in sid Cookie, including keyword/time/index searches, traceId lookups, surrounding log context, and aggregations by service, level, or host. It also validates Kibana connection status and redacts sensitive fields such as cookies, tokens, and passwords.

Enables AI agents to query and analyze Graylog logs through MCP tools for search, aggregation, stream listing, and saved queries, with optional OpenAI-powered natural language orchestration and audit logging.

Enables MCP-compatible clients to inspect the local machine's CPU, memory, and disk information through tools, a structured resource, and an upgrade-assessment prompt.

Enables MCP clients to call Cloudflare Workers-hosted tools while automatically tracking events, checkpoints, and tool calls in Agnost AI analytics.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.

SpineFrame is a audit-grade runtime that gives AI agents auditable provenance — every tool call, every piece of evidence, every decision is traced, policy-checked, and cryptographically signed. Signed evidence chains, compliance pipelines, and tool-call tracing that survives regulatory scrutiny.

Enables MCP clients to query homelab infrastructure such as Proxmox VE, NetBox, systemd services, Grafana, InfluxDB, AdGuard Home, ping logs, and configured HTTP JSON endpoints through read-only tools.

MCP server for interacting with iKuai routers, enabling Claude to query system status, manage devices, and configure router settings via natural language.

Redis health, BullMQ queue monitoring, memory analysis, and slow query diagnostics

Provides AI agents with tools to retrieve live system statistics (CPU, memory) and safely evaluate basic arithmetic expressions.

MCP server for read-only CrowdStrike Falcon visibility, enabling AI agents to list and retrieve detections, alerts, hosts, incidents, perform IOC lookups, and run LogScale queries.

Enables AI assistants to query real-time system metrics like CPU, RAM, disk, and battery usage, and check performance thresholds.

Enables Claude to inspect and manage Docker containers locally, including listing containers, fetching status and logs, and checking system health. It also supports safely restarting whitelisted containers through a two-step confirmation flow with an audit trail.

Enables natural language queries of the Chrome UX Report API to fetch Core Web Vitals (LCP, INP, CLS, FCP, TTFB), compare form factors, benchmark pages against site averages, and analyze up to 40 weeks of performance trends.

MCP server for Healthchecks: inspect, create and adjust cron and uptime checks, and read why one failed

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Provides cost analysis of AI agent usage by previewing scrubbed metadata before upload and analyzing spend, cache-hit rates, and waste recovery through a local or remote server.

Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.

Exposes a Raspberry Pi homelab's systemd service health, disk usage, CPU temperature, and LAN game-server status as read-only MCP tools, letting MCP clients answer questions like "how's the homelab doing?" without SSHing in manually.

Provides a standardized MCP interface for querying Graylog logs, enabling AI agents to search, diagnose, and correlate runtime logs with code via configurable profiles.