"Information about Unreal Engine 5 (UE5)" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Stream Vessel connects your AI assistant to the storage accounts you already own: AWS S3, MinIO, IDrive e2 and other S3-compatible services. Your files stay in your buckets; Stream Vessel never copies them. - Find files by name at any depth, list folders, and total up a folder's size before you change it - Read text files inline, or get short-lived download links for anything larger - Upload, including files over 5 GB through multipart uploads - Copy, move and delete single files or whole folde
Find the cheapest or best-value VPS for a given spec (vCPU, RAM, storage, budget, Seoul region) across 40+ providers and 300+ no-commitment monthly plans, compare providers head to head, and compare domain registration and renewal costs over 1-5 years. Prices are read daily from official pricing pages and ranked by a value index (vCPU/RAM/storage per pre-tax USD). Read-only, no auth. Data and docs: https://ssanvps.com/api/
Find, price, rent and stop GPUs on AmpleRun. Paid in USDC or USDT on Base. Flat 5% fee.
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 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.
Protocol-native energy infrastructure orchestration for AI data centers. Provides 46 MCP tools across 8 grid protocols (IEC-61850, DNP3, Modbus, OCPP, OpenADR, IEEE 2030.5, IEC 60870-5-104, ICCP) with 5 core API primitives: connect, dispatch, settle, comply, and intel. Enables AI agents to programmatically interact with substations, grid interfaces, and energy assets for real-time workload-grid coordination.
Ask about AWS, Azure, GCP, OpenAI, Anthropic and Snowflake costs, budgets, and anomalies.
Ask about Vercel Web Analytics and Speed Insights across all your projects and boards.
AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.
Ask about your customers' Azure costs, compliance and Microsoft 365 security.
Cloudflare Workers MCP server: agent-workflow-engine
