"Java Programming Language" matching MCP servers:

Enables Claude to analyze sentiment, extract entities, classify content, and analyze syntax via Google Cloud Natural Language API.

Enables secure cloud-based execution of code across 14+ programming languages within a sandboxed environment. It supports file management, standard input/output handling, and automatic generation of visual artifacts like plots and charts.

Enables AI-powered centralized log monitoring and Q\&A for GCP Java microservices, allowing log query, service health checks, and anomaly detection through MCP tools.

Enables large language models to automatically report customer-facing issues with Azure resources by parsing natural language requests and submitting impact reports through the Azure Management API.

A Model Context Protocol (MCP) server that lets AI assistants manage DataMammoth infrastructure through natural language.

Enables interaction with Cumulocity IoT platform for device management, measurements, and alarm monitoring. Supports filtering devices, retrieving measurements with time-based queries, and accessing active alarms through natural language.

Provides tools for interacting with PlanetScale databases via the Model Context Protocol, enabling database operations through natural language or API calls.

Enables large language models to directly access Tencent Cloud Log Service for log search, metric queries, and alarm management without code.

Enables AI assistants to manage VNG Cloud infrastructure including compute, storage, networking, and Kubernetes resources through natural language commands.

Connects MCP clients to Gemini Cloud Assist APIs, enabling users to understand, manage, and troubleshoot their Google Cloud environment using natural language.

Connects AI assistants to Turbot Guardrails for natural language exploration, analysis, and automation of cloud governance.

Enables natural language Kubernetes cluster operations, SLO monitoring, and PromQL queries via Claude using the Model Context Protocol.

Enables Claude to manage Okta organizations, including users, groups, and applications, via natural language.

Enables natural language interaction with VMware SDDC Manager and vCenter APIs through MCP tools, allowing users to query workload domains, VMs, clusters, and more.

Enables mathematical operations such as addition, subtraction, multiplication, and division through natural language, deployed on Google Kubernetes Engine with secure and scalable infrastructure.

Enables interaction with VMware SDDC Manager through natural language, exposing tools to list domains, check health, manage hosts, and more.

Exposes the RunCloud v3 API to AI assistants, allowing natural language querying and management of servers with safety profiles for destructive operations.

Enables AI assistants to search and retrieve Azure service updates, retirements, and feature announcements using natural language queries with fast local caching.

Enables natural language analysis of AWS cloud costs, waste audits, and budget insights across multiple profiles and regions.

An MCP server that enables AI assistants to manage Dokploy infrastructure (Docker, projects, applications, databases, etc.) through natural language, acting as a universal translator between AI and cloud systems.