"Using Pollinations to Create Images Without Logos" matching MCP servers:

A pre-action risk gate for AI agents. Your agent calls the forecast tool before any irreversible action — send email, run SQL, make a payment, delete a file — and gets a risk score (0–100) and a GO / CONFIRM / STOP verdict in a few seconds.

MCP Server for notify to telegram / weixin

Enables management and inspection of webhook tokens (URLs) and incoming requests via webhook-test.com, allowing users to create, list, fetch details, fetch payloads, and delete webhooks without custom API integrations.

Enables coding agents to log friction events (tried, failed, minutes lost) and allows reviewers to cluster, rank, and resolve these vents locally without network access.

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

ac-infinity-mcp is an MCP server that connects Claude (and other AI assistants) directly to your AC Infinity controllers — so you can read live sensor data, run analytics, and adjust fan speeds or port states using natural language, without opening the AC Infinity app.

Reports your Claude subscription usage (5-hour and weekly limits) with a forecast and velocity recommendation, using Claude Code's existing OAuth session without requiring an API key.

A Model Context Protocol (MCP) server for the RIPE Atlas network measurement platform. Enables AI assistants to create network measurements, retrieve results, search probes, and manage credits.

Enables AI assistants to analyze JVM thread dumps and GC logs, detecting deadlocks, lock contention, and GC pressure, without requiring a JVM runtime.

A Model Context Protocol server that gives LLM clients full access to your AppDynamics monitoring data — plus the ability to create and manage dashboards and health rules.

Connects AI assistants to Crontinel, enabling natural language queries about cron jobs, queues, Horizon status, and alerts without opening a browser.

MCP server that provides read access to Plausible Analytics data with natural-language date resolution, enabling users to query analytics like 'yesterday' or 'last week' without needing to know exact date formats.

Provides structured access to Claude Code agent log files, allowing agents to query assistant lines and tool calls without reading raw JSONL data.

MCP server for log file analysis. Gives LLMs the ability to efficiently analyze large log files without loading them into context.

MCP server for profiling Java applications via JDK utilities (jcmd, jfr, jps). Enables AI assistants to diagnose performance, analyze threads, and inspect JFR recordings without manual CLI usage.

Free SEO + GEO (AI-search-citation) analysis for AI assistants: full SEO audits, AI-crawler-access checks (GPTBot/ClaudeBot/PerplexityBot), Core Web Vitals, structured data, security headers, mobile, and images. No signup, no API key, nothing sent to any server - runs entirely on the user's machine.

Enables AI assistants to perform vulnerability scanning on Docker/OCI images, check CVE details, analyze licenses, and compare scan results via ScanRook.

Enables AI assistants to search Elasticsearch logs, retrieve log details, analyze service health, scan local codebases for APIs, and create Kibana dashboards.

A read-only MCP server for inspecting Kubernetes clusters, allowing LLMs to list resources, describe pods, and read logs without mutation.

A file monitoring server that tracks filesystem events and provides real-time notifications to AI assistants, enabling them to automatically respond to file changes without manual updates.