"Information about Visual Studio Code" matching MCP connectors:
Matching Connector Tools:
Debug, build, and manage Power Automate cloud flows with AI agents
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.
Puter MCP lets your AI tools (Claude Code, Codex, or any other MCP-compatible client) interact with your Puter resources: managing files, publishing websites, deploying workers, and more.
PostgreSQL and Apache Kafka MCP server. Provision, query, and monitor managed cloud data services from AI assistants like Claude, Cursor, and VS Code.
Manage brainCloud apps, cloud code, hooks and servers; API lookups to help generate client code.
Agent-first hosting: create apps, commit code, deploy, get HTTPS URLs. OAuth sign-in, no tokens.
Turn Claude or ChatGPT into a website builder that ships a real site to a live URL you own.
Verified cloud cost forecasting for AI agents. AWS, GCP, Azure pricing matrix.
Verified cloud cost forecasting for AI agents. AWS, GCP, Azure pricing matrix.
Deploy and manage cloud servers from AI agents. Create pods, push code, run commands — all via MCP.