"Automated error detection in transformation processes" matching MCP connectors:
GET /v1/connectors ā MCP directory API referenceMatching Connector Tools:
Uptime monitoring, status pages and on-call in one place. Create and tune monitors for HTTP, TCP, DNS, ping, TLS certificates, domain expiry, heartbeats and scripted browser logins. Run a check on demand, read uptime and response-time history, acknowledge and resolve incidents, post incident updates, schedule maintenance windows and edit public status pages. Read-only until you grant write access.
Read your team's hosted journal from an AI agent: every machine's streams, in hub order.
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.
Free anonymous website, DNS, email and TLS checks, plus monitor read and opt-in write access.
Error tracking for small teams and their coding agents.
CVE intelligence: exploitation (KEV/EPSS), detection coverage, fixed versions, CPE configurations.
Uptime and website monitoring for AI agents. Query monitor status, incidents, heartbeats, domain expiry, and status pages in your Vantaj Uptime workspace.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Know when cron jobs and AI agents stop running: create monitors and check in from your agent.
Read-only Yandex Metrika MCP. Query visits, sources, geo, devices and more in plain language.
Dead-man switch for cron and webhooks: ingest URL, miss detection, alerts and a status feed.
Human-in-the-loop review and approval for AI agents. Audit trail, approval policies, native MCP.
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 ā the merge button stays yours.
Read-only production error evidence for coding agents investigating failures.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
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: šµļø Run advanced Root-cause analysis over recent logs š¦ List and describe Pipelines š¤ Export and filter Logs with powerful query syntax
- aictrlOAuthdev.aictrl
Governance and grounding layer for engineering teams running AI coding agents (Claude Code, Cursor, Codex). Grounds agents in your codebase's knowledge graph, and adds session audit, policy controls and cost/token visibility.
Proxy Gemini (Vertex AI) completions wrapped in OpenTelemetry trace spans; returns the answer plus t
- gtmetrixOAuthcom.gtmetrix
Analyze web performance and get optimization insights from GTmetrix, directly in your AI workflow.
MCP server for Sentry - error monitoring, issue tracking, and debugging for AI assistants
