"stack and dns mcp" matching MCP servers:

Provides read-only network diagnostics for a target host, including DNS, TLS, HTTP, and registry data.

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 Drumbeats monitoring. Enables creating monitors, triaging incidents, and running HTTP/SSL/DNS checks using natural language from any AI client.

Enables coding agents to locally investigate and manage error tracking issues, including Laravel error summaries, paginated stack traces, triage, comments, and deletion.

MCP server for integrating self-hosted Sentry with AI assistants, enabling project and issue listing, issue details with stack traces, and event retrieval.

MCP server for self-hosted Sentry instances, providing tools to query and triage issues and events, inspect stack frames, manage releases, and access raw Sentry API.

Enables read-only, stack-aware diagnostics for microservices on Kubernetes, turning debugging runbooks into conversational tools that investigate slow requests, changes, leaks, and in-pod conditions without exposing cluster credentials.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

MCP server giving AI assistants full control of a Proxmox homelab, enabling management of VMs, containers, Docker projects, media stack, and monitoring via natural language.

Enables natural-language access to Sentry's skill library for setup, instrumentation, debugging, alerts, releases, stack traces, OpenTelemetry, and Cocoa snapshots, plus bounded issue triage, guarded remediation, and release-lineage workflows.

Enables managing and observing Technitium DNS Server through MCP, including read-only or read-write tool surfaces, scoped bearer authentication, audit logging, and confirmation gates for destructive operations.

Enables AI agents to monitor, trace, query, and manage local DNS resolver chains using MCP, with health checks, packet tracing, Pi-hole log access, and automated failover via natural language.

Enables AI agents and MCP clients to access uptime monitoring data and perform explicitly approved actions through a single PipMCP API key, with hosted schemas and governed execution. It supports workflows such as reviewing coverage and creating approved status monitors.

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

Unified FastAPI server exposing 18 tools across 7 domains for the DOME-HUB sovereign stack, including E8 lattice, AMMA monitor, Akashic Records, and more.

Enables comprehensive management of Tailscale networks including device management, DNS configuration, file sharing via Taildrop, security monitoring, and network automation with built-in Grafana/Prometheus observability stack.

Captures DNS queries leaving your Mac and serves them to Claude via MCP for traffic pattern analysis, answering questions about top domains, categories, and temporal patterns.

Enables web audits for performance, security, SEO, and DNS, returning structured improvement prompts for AI assistants.

Enables AI assistants to query servers, uptime monitors, incidents, DNS, domains, certificates, and audit logs in plain language, with limited on-call actions when permitted.

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

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

MCP server for NextDNS that enables managing profiles, blocklists, analytics, DNS logs, and parental controls through natural language.

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

Enables AI-assisted DevOps by exposing scoped, role-based tools to inspect and remediate a Docker app stack, with audit logging and allow-listed commands for safe incident response.

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

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

Enables querying logs and metrics with plain SQL from any MCP client via pooml's read-only query API.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

Provides cryptographically signed, tamper-evident compute usage receipts via a Model Context Protocol server, exposing tools to record usage, verify receipts, list the ledger, and verify ledger integrity without requiring any account, API key, or single cloud provider.

Enables classification of GPU workloads as training, inference, or idle from telemetry data, with tools for one-shot classification, benchmarking, and audit log verification.

8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits

Web analytics and AI session replay for agents: visitors, breakdowns, funnels, goals, revenue attribution, and AI-found site issues. Connects to the hosted Flowsery MCP server.

Provides MCP tools to create and query SigNoz trace funnels, enabling agents to measure their own step conversion rates from within the agent loop.

16-tool MCP server for Google PageSpeed Insights & Chrome UX Report APIs. Analyze, compare, and optimize web performance directly through Claude, Cursor, or any MCP-compatible AI client.

Model Context Protocol (MCP) server for debugging, analyzing, and diagnosing Kubernetes clusters directly from AI agents.

Unified observability gateway for AI agents — one MCP server for Prometheus, Loki, and any backend.

Read-only MCP server for Grafana Loki: lets AI agents (Claude Code, Cursor, Copilot) discover labels, read bounded LogQL pages, count lines by label or time, and export logs — across several Loki stands

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).

Relays error logs from other MCP servers when an LLM call fails and the returned error message is unclear, helping the model handle errors more intelligently.

Tells an agent what went wrong with its own Ollama calls, in sentences with the fix: lost prompt cache and where the prompt stopped matching, context overflow, a model running partly on CPU, tool schemas crowding the prompt. Also the last turn in numbers and which local models fit in video memory. Local, read-only, nothing leaves the machine.