"How to download images from a website or URL" matching MCP servers:

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.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

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

MCP server for the Chrome UX Report, providing real-user Core Web Vitals (LCP, INP, CLS) and historical trends for any origin or URL via natural language queries.

Enables AI agents to access website analytics, including visitor sessions, UX friction, conversion funnels, and anomaly alerts.

Ask your AI agent about your MCP servers: which tools fail, how a release compares, what clients look for and do not find. Reads from mcpspan with a read token.

A read-only MCP server for Umami analytics, enabling natural language queries of website stats, traffic trends, events, sessions, and analytics reports.

Enables AI agents to monitor website performance by scanning sites, retrieving Core Web Vitals, detecting regressions, and receiving AI-powered optimization recommendations.

Enables AI agents to browse and filter experiment runs, retrieve metrics, logs, tables, and artifacts, plot comparisons as PNG images, and download full-fidelity training history for local analysis against a self-hosted Open Train server. It also provides diagnostic tooling that surfaces metric evidence and investigation leads without asserting causality.

Enables AI agents to inspect a live Celery deployment over RabbitMQ or Redis — checking which workers are responding, their pools, concurrency and consumed queues, and how many messages are backed up in each queue — so agents can diagnose stuck or unrouted tasks. Read-only by default, with broker credentials masked in all output.

Lets AI assistants read cookieless website analytics and manage goals, alerts, and uptime checks through a hosted MCP endpoint with permission-scoped access tokens.

A multi-tenant control plane for MCP that aggregates upstream MCP servers behind a single authenticated URL, with deny-by-default policy enforcement and a replayable audit trail.

MCP server for Umami Analytics that provides read-only tools to query website stats, events, sessions, reports, and more, enabling natural language analytics queries.

Enables grading a website's security headers with per-gap fixes and a README badge, and analyzing logs, code, configs or suspicious messages to determine what happened, how severe it is, and what to fix first. Requests are masked for sensitive data and automatically retried across multiple AI providers when one refuses, subject to a defensive-use-only policy.

Enables querying Plausible Analytics data for website statistics, traffic, engagement, and conversions through natural language, with support for filters, dimensions, and time-series.

Enables administrators to enforce configured URL reputation checks and result scanning on selected MCP fetch tools, refusing disallowed, malformed, or unscannable traffic before it reaches the model. It also supports HMAC-signed ToolHive request validation webhooks for fail-closed policy enforcement.

Enables AI assistants to check website uptime, measure page speed and Core Web Vitals, and monitor cron jobs or backups, returning alerts, trends, and fix-first recommendations through natural language.

Connects AI assistants to turbometrics.de for website performance analysis, scans, real user monitoring, and alerts management.

Enables querying privacy-focused website analytics from Plausible's read-only Stats API v2, with tools for overview, timeseries, breakdown, and goal performance metrics.

Exposes Umami analytics (Cloud or self-hosted) as read-only tools for querying website stats, pageviews, metrics, and active visitors.

Enables running SPL searches, paging through job results, and inspecting indexes and metadata on a Splunk instance by logging into Splunk Web with just a URL, username, and password. Requires no admin port, authentication token, or app installation, and supports result pagination, read-only command blocking, and self-signed certificate handling.

Analyzes how search engines and AI systems discover, crawl, cite, and convert traffic via CLI and MCP tools.

Enables access to Hitsteps analytics and website operations through a remote MCP server, using OAuth for authentication and Streamable HTTP transport.

Enables read-only access to JavaMelody monitoring data from one or more Java web applications, covering HTTP/SQL/Spring counters, JVM and thread snapshots, and database reports. Users can query several configured microservices from a single server process and inspect what is slow or failing without opening the JavaMelody dashboard.

Monitor website health, uptime, SEO, security and performance via your AI assistant.

Dead-man's-switch monitoring for cron jobs and AI agents: your job or agent pings a URL each run, and Kywio alerts you when the pings stop. MCP-native (create/ping/get heartbeat) plus REST — an outside observer for agents that can't detect their own death.

Read-only MCP server providing Microsoft 365 service health status and known incident/outage information from Microsoft Graph. Enables quick answers to whether an issue is a widespread Microsoft outage or specific to a tenant.

A read-only, OAuth 2.1-authenticated MCP server that lets Claude inspect the live state of a self-hosted server — system resources, containers, service and website health, n8n automations, video jobs, backups, repositories, error summaries, a component design system, uptime monitoring, and its own audit trail. All twenty-one tools are strictly observation-only, with no shell, file browser, SQL console, or Docker socket, so nothing can be started, stopped, deployed, or deleted.

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