"Understanding Code Execution" matching MCP connectors:

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.

MCP Gateway: wrap any MCP server with cold-start retries, uptime SLA, and per-execution MPP billing.

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.

Unified API to query AWS, GCP, Azure and generate Terraform/CLI execution kits for AI agents.

B2AI infrastructure API for autonomous agents. Normalizes AWS, Azure, and GCP into a unified schema with execution kits (Terraform + CLI), cost estimates, and cross-provider recommendations.

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.