"Servers that support Server-Sent Events (SSE)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Ask your AI about your product's events, delivery health and usage
Vigilia watches your live app, explains every problem in plain language and writes the fix prompt. Your AI fixes it; Vigilia confirms with real traffic. Vigilia watches web apps that are live with real users, including apps built with Lovable, Bolt, v0, Cursor and Claude Code. It catches errors, failed requests and downtime, explains each problem in plain language, and writes a fix prompt for it. Connect Vigilia to Claude and ask what's broken. Claude lists your open incidents worst first. For each one it reads the plain-language diagnosis, who it affects, the technical evidence (error, page, failing request, stack frames and what the visitor did right before) and Vigilia's fix prompt. In Claude Code or another coding agent, Claude can then fix the cause in your own codebase. Once you've deployed, it marks the incident fixed, and Vigilia watches real traffic to confirm the error stayed away. If it comes back, the incident reopens as a regression. You can also ask how an app is doing (uptime, open incidents, today's traffic), get the exact install snippet for a new project, and check that a live site is running Vigilia. Vigilia never reads or changes your code: the fixing happens in your session, by your AI, in front of you. The only tool that changes anything is marking an incident fixed (the install check just records its result on the app), and you can connect with read-only access. Your data is stored in the EU. Emails, tokens and card numbers are stripped from what visitors' browsers send, and only that scrubbed error context is sent to Anthropic to write the diagnosis. Requires a Vigilia account. The free plan covers one app; reporting backend errors (Supabase, Next.js routes, Workers) is part of Pro.
Read your Condux issues, events and stack traces (deminified with source maps). Triage optional.
Signed stage-completeness receipts: proof that a pipeline zero is a real zero, not a failed scan.
Read-only access to an ET Ducky organization's Windows and Linux agents, alerts, and fleet summary. Four tools list agents, get one agent with its latest health sample, list alerts, and summarize the fleet. Hosted Streamable HTTP endpoint, authenticated with an organization API token sent as a Bearer header.
Hear it from nimo, not your customers. Monitoring that tells you the fix, not just the alert: uptime, Core Web Vitals, cron check-ins, plus Journey Watch for your signup and checkout flows. Free one-off checks, no account needed.
Read-only Amazon SES observability: search events, inspect bounces, pull delivery stats.
Investigate Internet outages with IODA events, alerts, and connectivity signals via MCP.
Downdetector for AI agents: stop paying for retries that can't succeed. Check once, then report.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
ThousandEyes MCP Server for network intelligence: outages, anomalies, alerts, events, and tests.
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.
Trace events to function runs to the failing step, and bulk-cancel runs.
Investigate security events and manage the allow/deny lists an analyst acts on.
Read NodePing checks, uptime, results and events; mute checks, manage maintenance and schedules.
Send and receive webhooks without building delivery queues or customer webhook controls. Relin lets your software and AI assistants set up inbound handlers, manage outbound events and customer endpoints, inspect delivery health, and retry failed deliveries. A generous free plan is available; no paid subscription is required.
MCP-native AI SRE. Exposes your production OpenTelemetry problems, traces, and logs over the Model Context Protocol, plus an AI remediation loop that opens a reviewed GitHub fix PR and verifies in production (reopening on regression). Tools include list_problems, get_problem, query_traces, detect_anomalies, and request_problem_remediation. Human-in-the-loop by default — the merge button stays yours.
One private feed for you and your AI agents. Review reported actions with permission.
Cache-bust forensics + TTL-fit verdicts: names the field that busts your prompt cache.
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
Brazilian hosting operated end to end by the coding agent: create an app, provision PostgreSQL, Redis and object storage, deploy from GitHub Actions, read container logs, measure memory and CPU, and see the cost in BRL before spending it. Irreversible operations require a human approval code that the agent never sees. Prepaid credit, paid by Pix.
API and website monitoring that validates the JSON a response returns, not just its status code. Create endpoint checks, pull incident reports carrying the actual failed payload, and read health scores from your editor.
Uptime monitoring that doesn't cry wolf: manage monitors, read incidents, record deploys.
Search log events, investigate anomalies, and manage cases in your Knowledge Grid tenant.
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
Read-only access to your Nexly web analytics: traffic, pages, acquisition, events, and reports.
Query Honeycomb observability data: traces, events, metrics, SLOs, triggers, and boards.
Cloud hosted Okahu MCP server that helps you manage genAI trace data
Manage incident alerts, events, and workflows with custom automations
