"Working with Excel" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Uptime, SSL, domain, and Core Web Vitals monitoring for websites and APIs. List, create, update, and pause monitors; read incident history with AI-generated diagnosis; pull Lighthouse and CrUX page speed data. OAuth 2.0 with dynamic client registration — works out of the box with Claude Desktop connectors. Free plan: 20 monitors, read-only MCP.
Real-time error logging for Cloudflare Workers, Next.js & Vercel. Catch silent crashes, $500 cost spikes, and every AI call with logs inside Cursor & Claude.
Website traffic, human vs bot split, realtime visitors, breakdowns and site health for your DevDome sites. Hosted remote MCP server (streamable HTTP), authenticated with a DevDome API key.
Private work routing for authorized buyers and agents, with Zinvyl as the first enabled supplier.
Ask an agent why a PHP site is slow: every request with its SQL, HTTP calls, errors and N+1.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Check if any website is down, from two continents, with uptime history and TLS expiry
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Dead-man switch monitors for cron & AI agents with dependency-cascade alerts. No account needed.
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
AI-ready vendor incident status with public active incidents and plan-scoped history.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
Oviond brings data from 100+ marketing platforms into one reporting platform. Through the Oviond MCP server, AI assistants can securely access and work with Oviond clients, projects, reports, dashboards, widgets, and marketing data. Ask questions about your reporting data, analyze marketing performance, and manage reporting workflows directly through your AI assistant.
DevOps, SRE, and QA intelligence for Cursor — investigate bugs, assess release readiness, search logs, triage outages, diagnose failed CI, check deployments, and query connected cloud platforms. Secure remote MCP with OAuth2 and read-only QA subagents.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools. Add Mezmo MCP and you can: 🕵️ Run advanced Root-cause analysis over recent logs 📦 List and describe Pipelines 📤 Export and filter Logs with powerful query syntax
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
MonoDuty MCP connects compatible assistants to uptime monitoring, job heartbeats and webhook alerts in an on-call workspace. Inspect monitoring coverage, prepare proposals, and create or manage supported resources with separate permissions. Hosted Streamable HTTP endpoint with OAuth. Requires an active verified MonoDuty account, workspace admin access and an API-eligible plan. Docs: https://monoduty.com/docs/mcp
High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.
