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"Information about Java programming language" matching MCP connectors:

Matching Connector Tools:

  • Interact with your Google Cloud Datastream resources using natural language commands.

  • Interact with your Google Bigtable resources using natural language commands.

  • Interact with your Google Cloud Firestore resources using natural language commands.

  • 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 BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.

  • 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.

  • InsideOut by Luther Systems — Agentic AI for cloud infrastructure design, setup, pricing, deployment, and active management. Generates Terraform for AWS and GCP. Hosted A2A agent — describe your application in plain language and InsideOut designs, costs, deploys, and manages production-ready cloud infrastructure.

  • Backend for vibe coders. Connect Butterbase to any MCP-compatible AI coding tool and provision a full backend automatically — database, authentication, file storage, edge functions, and real-time — from a natural language prompt. No SQL, no configuration, no backend knowledge required. Free to start at butterbase.ai.

  • Query OneLens cloud-cost data in natural language: breakdowns, trends, cost centers. Read-only.

  • Interact with your Google Cloud Composer resources using natural language commands.

  • AI-native Internal Developer Platform for Kubernetes and automated GitOps. Manage infrastructure, deployments, and databases through natural language. https://mctl.ai/mcp/

  • Your AI Agent's Infrastructure Layer. Connect Claude, Copilot, Codex, or ChatGPT to 200+ managed open source services. Start databases, pipelines, and applications through natural language.