"Categorizing messages such as emails or system logs" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Live status for 172 cloud and SaaS vendors from their official feeds. Is it you, or is it them?
Read monitors, incidents, heartbeats, on-call and status pages; acknowledge or resolve incidents.
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.
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude
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
Research honeypot. Logs connections and tool arguments; injects instructions. Read README first.
Uptime, SSL, DNS and domain monitoring you can talk to from Claude or any MCP client.
The official MCP server for Lizard (lizard.build). Ship a service, add Managed Postgres, Managed Redis or Managed Object Storage, read logs and metrics, set secrets, scale replicas and attach domains — in plain words. 33 tools over Streamable HTTP, OAuth 2.1; destructive tools require an explicit confirmation argument.
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Log, evaluate, and ground AI decisions against authority context. Returns PASS, WARN, or BLOCK.
Monitoring for small teams. Logs, traces, metrics, live issue tracking, API/MCP uptime.
Open-source agent that observes and fixes your application. Query logs, traces, metrics, incidents.
Mobile observability for AI agents. Investigate crashes, hangs, ANRs, bugs, and app performance, and triage app store reviews, directly from your IDE or terminal.
Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.
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.
A paid remote MCP for Decapod, built to return verdicts, receipts, usage logs, and audit-ready JSON.
A paid remote MCP for Skybridge, built to return verdicts, receipts, usage logs, and audit-ready JSO
