"Understanding and Using Docker Logs" matching MCP servers:

Provides MCP tools for setting up and managing Hephaestus development environment with Docker containers, including starting/stopping services, initializing databases, and troubleshooting.

MCP server for Australian Institute of Health and Welfare statistics — plain-English access to mortality, cancer, hospital, and health expenditure data via data.gov.au.

A Model Context Protocol (MCP) server for the Mouser Electronics API. Enables searching electronic components, managing shopping carts, and tracking orders directly through Claude or other MCP clients.

Enables AI clients to search live documentation for popular developer libraries and return clean, source-cited summaries via a RAG pipeline.

Enables LLMs to upload and manage Thermomix recipes on Cookidoo, including structured steps with Thermomix settings, images, and access to shopping lists and meal planning.

Enables querying of Hong Kong government data on elderly community care services, such as waiting times and applicant counts.

Provides access to Hong Kong climate and weather data from the Hong Kong Observatory, including current conditions, forecasts, warnings, tides, and more.

An MCP server providing vision understanding tools (image QA, OCR, video and document understanding) via OpenAI-compatible endpoints, defaulting to Zhipu GLM vision models.

Enables searching X (Twitter) using the xAI Grok API to get summarised answers with citations. Supports filtering by handles, date range, and image/video understanding.

A search-and-retrieve MCP server that queries official documentation sites for modern libraries like LangChain, OpenAI, and Docker, extracting clean text content using Google Serper API and trafilatura.

A log analysis MCP server that enables tailing, searching, filtering, and summarizing logs from local files and Docker containers.

Composes arbitrary MCP tools using JavaScript, enabling discovery, composition, and execution of other MCP servers through a single 'exec' tool.

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.

Provides vision capabilities to text-only LLMs by acting as a cloud vision adapter layer, enabling image understanding and OCR text extraction through a single MCP tool.

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

Search and retrieve Agent2Agent (A2A) protocol documentation using full-text search and section filtering.

Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.

A stateless MCP server that normalizes strength training logs into a deterministic canonical schema, enabling consumers to build analytics downstream without storing data server-side.

Enables AI agents to interact with Freeplay, an ops platform for AI engineering teams, to analyze production logs, identify quality issues, iterate on prompts and agents using real data, and run experiments before deploying.

Enables AI assistants to answer DFW civic and property questions using official data sources without API keys.