"How to interact with Visual Studio Code" matching MCP connectors:
Matching Connector Tools:
EU AI Act Art-14 runtime oversight: allow / flag / gate-to-human on an agent action, with receipt.
Free anonymous website, DNS, email and TLS checks, plus read-only access to your monitors.
Stateful WebSocket session registry with per-connection Shannon entropy delta tracking for schema di
Uptime, API and server monitoring with outages, reporting, on-call and status pages.
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
Read-only MCP access to sessions, funnels, campaigns, errors, live visitors, and anomalies.
AI-ready vendor incident status with public active incidents and plan-scoped history.
Connect engineering metrics, DORA performance, and deploy risk scoring to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.
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.
The Cortex MCP server provides read-only access to real-time engineering context from the Cortex developer portal, allowing AI coding assistants to answer natural language questions about your organization's catalog (microservices, libraries, domains, teams, infrastructure), scorecards (engineering standards and best practices), initiatives (goals and deadlines), and Engineering Intelligence metrics. It includes tools for querying documentation, tracking personal entities, and accessing AI-assisted insights across the entire Cortex ecosystem.
Fixter's MCP provides a stream-lined agentic way to onboard, setup and use the Fixter monitoring and observability platform.
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
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.
An MCP server giving access to Grafana dashboards, data and more.
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.
API monitoring from your editor. Checks the JSON your endpoints return, not just the status code.
AI access to Hitsteps analytics, live visitors, uptime, goals, alerts, and chats.
Live reliability for AI agent tools: is it working right now, and how do I call it correctly?
High-performance array aggregation and metrics clearing engine. Cleans and bucket-groups noisy metric streams via an $O(N)$ single-pass data sweep. Operates natively with the pay-per-call x402 micropayment framework.