"Visual Studio Code (VSCode) - A Code Editor by Microsoft" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform. Check out more at https://fixter.dev/
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.
MCP-native AI SRE: ask what's broken in production, get a reviewed GitHub fix PR.
Measured latency, time to first token and uptime for ~45 AI inference APIs, by region.
Watchdog for unattended AI agents: alerts, evidence checks and a verifiable proof per run.
Ask an agent why a PHP site is slow: every request with its SQL, HTTP calls, errors and N+1.
Weekly scans of MCP servers for availability and consistency, with a public dashboard.
Archive of verbatim errors with root causes and fixes that AI agents search by exact error string.
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Public read-only demo of Netmon's network monitoring tools over a recorded snapshot.
Observatory operated and funded by devlo: real tools on frozen tasks; intervals, cost, limits.
Core Web Vitals metrics by CMS, CDN, and framework — free remote MCP, no auth.
Dead-man switch for cron and webhooks: ingest URL, miss detection, alerts and a status feed.
A managed runtime for custom API integrations. Manage lines, endpoints, keys, logs and DLQ via MCP.
Free MCP window into a live autonomous machine-economy experiment: telemetry, hypothesis scoreboard.
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.
heera.it via Agentimus: AI readiness, traffic, request log, search & index reports, by approval.
- ZopnightOAuthdev.zop.api
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
