"Python Object-Oriented Programming Resources" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Read-only AWS cost analysis: find idle and underutilized resources, with evidence.
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.
Interact with your Google Bigtable resources using natural language commands.
Interact with your Google Cloud Datastream resources using natural language commands.
Create, manage, and query your Google Cloud SQL resources.
Provides read access to your GKE and Kubernetes resources.
Interact with your Google Cloud Firestore resources using natural language commands.
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 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.
- 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
- PuterOAuthcom.puter.mcp
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.
Brazilian hosting operated end to end by the coding agent: create an app, provision PostgreSQL, Redis and object storage, deploy from GitHub Actions, read container logs, measure memory and CPU, and see the cost in BRL before spending it. Irreversible operations require a human approval code that the agent never sees. Prepaid credit, paid by Pix.
Tigris MCP Server seamlessly connects AI agents to Tigris bucket and object management.
Interact with your Google Cloud Composer resources using natural language commands.
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.
An MCP server that provides an API to LLMs to manage their JumpCloud resources.
