"Uptime Kuma" matching MCP servers:

Enables managing Uptime Kuma monitors via MCP protocol, supporting batch add, list, and delete operations.

MCP server for managing self-hosted Uptime Kuma monitors and querying uptime statistics from Claude.

Enables managing Uptime Kuma monitors and groups via CSV-driven sync, with MCP-style commands for inventory synchronization, preview, and status checks.

Enables unified management of maintenance windows and incidents across Atlassian Statuspage and Uptime Kuma. It allows AI assistants to schedule maintenance, update service statuses, and list monitors through a single MCP-compatible interface.

MCP server for uptime monitoring, incidents, alerting, and dependency status.

Provides unified access to multiple homelab services including Nginx Proxy Manager, Pi-hole, Uptime Kuma, Portainer, and UPS NUT for monitoring, management, and automation through a single modular interface.

A Model Context Protocol server that provides network uptime checking tools, enabling ping and website availability checks.

Independent latency and uptime data for 46 hosted AI inference APIs, probed every 5 minutes from 4 regions with no gateway, plus a verified model deprecation calendar and Claude Code / Codex speed and accuracy drift. Four read-only tools, no API key; data CC BY 4.0.

Enables agents to store and recall long-term memories by semantic relevance rather than exact keywords, with writes gated by verbatim evidence and separate memory stores per agent mode.

A thin MCP server that delegates lightweight tasks from Claude Code or any MCP-compatible client to local or cloud LLMs via LiteLLM, supporting models like Ollama and cloud APIs as subagents.

Provides long-term memory for agents with meaning-based recall, evidence-gated writing, and separate stores per agent mode.

Enables AI assistants to retrieve current weather conditions and forecasts for any location via natural language, with optional AI-generated summaries.

Enables AI assistants to query KumoRFM for predictive analytics on relational data, including graph management, natural language to PQL conversion, and training-free predictions.

Enables AI coding assistants and agent workflows to query live measured free-LLM performance and availability, including throughput, uptime, tool-calling success, and model diagnostics.

Discovers events from Luma's public feed and subscribed calendars, with distance filtering, category search, and ICS export. No API key required for basic discovery.

A local RAG context optimizer MCP server that filters retrieved context to the minimum an LLM needs to answer correctly, using a cross-encoder and optional calibration.

An MCP server for the Luma Events API that enables creating, updating, and managing events and guests.

Enables LLMs to dynamically search, scrape, and query official documentation of libraries like uv, OpenAI, LangChain, and LlamaIndex via Google Serper and Groq.

MCP server for managing Luma events, including creating and updating events, setting ticket types and prices, issuing coupon codes, listing RSVPs, and sending emails to attendees, with a safety-first draft+confirm pattern.

Enables MCP clients to query an organisation's merged-PR history as a FalkorDB graph, computing bus factor, module risk and successor candidates with the evidence path behind each answer. It also forks the graph to simulate a person's departure, hand a plan through analyst, planner and reviewer roles, and draft reviewable succession artifacts such as CODEOWNERS patches and issues.

Find the most reliable AI agent for any task. Search 2,000+ agents across A2A and MCP with quality filters — min uptime, max latency, score thresholds. Check if an agent is alive before routing to it. Like Artificial Analysis, but for agent services.

Provides read-only tools for discovering, searching, and browsing events from Luma, Posh, and Partiful platforms, including event details and guest lists, with optional authenticated access to a user's Luma events.

Enables interacting with the HetrixTools API v3 to manage blacklists, uptime monitors, status pages, scheduled maintenance, and server agents via natural language.

Provides real-time data for package versions, download counts, and cloud service statuses across npm, PyPI, and various service providers. It enables users to perform technical lookups and monitor service uptime through natural language commands.

Connects to the Korea Meteorological Administration (KMA) Open API to provide short-term and ultra-short-term weather forecasts for South Korea. It enables users to query current weather conditions and future forecasts based on latitude and longitude.

Enables scraping of LinkedIn, Facebook, Instagram profiles and Google search via a Model Context Protocol server, allowing AI assistants to fetch social media data and search results.

Create videos and images using Luma AI, this MCP server handles all API functionality for Luma Dream Machine from Claude Desktop.

Enables AI assistants to interact with GitHub repositories via the REST API, supporting repository listing, detail retrieval, and issue management.

Enables image and video generation using Luma's API, supporting multiple models, aspect ratios, and advanced features like keyframes and style references.

A read-only observability server that lets external agentic AI clients query CPU, memory, load, uptime, allowlisted filesystem capacity, bounded process snapshots, and permitted journald logs. It also provides a JSON system summary resource and a safe health-check prompt, with no arbitrary shell or destructive operations exposed.