"Servers that Enhance Productivity" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Stateless MCP gateway and OTel span-streaming bridge for hosted MCP servers.
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
Weekly scans of MCP servers for availability and consistency, with a public dashboard.
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.
Free spend report from an agent log, no key. Hosted proxies: caps, audit export, buy calls.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
MCP tool observatory: do registry servers answer, and are their answers true? No key.
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.
Analytics for MCP servers. Query your tool calls, first-call success, retries and schema cost.
Analytics for MCP servers. Find out which of your tools agents get wrong. MCPulse shows you which tools AI agents retry, which come back empty, and which they never call at all. Two lines inside your own server. It never sees your arguments or your results. getmcpulse.com
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.
Monitor websites, APIs, and servers: create monitors, triage incidents, and query uptime stats.
- SuperlogOAuthsh.superlog
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
Trust checks for MCP servers: trust scores, tool-drift detection, signed diligence receipts. Free.
Connect AI assistants to Xitoring monitoring: servers, uptime, incidents, metrics, SSL, and alerts.
Cloud hosted Okahu MCP server that helps you manage genAI trace data
