"Uptime Kuma" matching MCP servers:

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

MCP server for StillOnline uptime monitoring, enabling management of projects, checks, incidents, and public status pages through natural language.

MCP server for Exit1 uptime monitoring. Enables AI assistants to create and manage uptime checks, configure alerts, and query status via natural language.

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

Enables recurring website maintenance checks — domain registration, SSL certificates, uptime, technical SEO and accessibility — across a portfolio of client sites, using publicly available information. Results are returned as structured data and can be sorted by urgency into a client-ready report.

Uptime monitoring from your AI agent: create and diagnose checks (40 types: HTTP, TCP, DNS, SSL, ICMP, databases, message queues and more), read results and incidents, and manage status pages and maintenance windows. Built into the self-hostable SolidPing server, served over streamable HTTP at /api/v1/mcp.

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.

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 assistants to look up uptime commitments, service credits, and per-service SLAs for cloud and SaaS vendors directly from SLA.directory.

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 AI coding assistants to look up KUKA system variables and KSS alarms, lint and diagnose KRL projects, perform industrial safety audits, and read live controller telemetry from KRC4/KRC5 or virtual controllers.

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.

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.

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