"Information about Unreal Engine" matching MCP servers:

Enables intelligent exploration of Unreal Engine documentation through a Neo4j-based knowledge graph. Supports concept relationship searches, learning path discovery, and dependency tracking between engine features using bilingual Chinese-English queries.

Provides deep source code analysis for Unreal Engine codebases, allowing AI assistants to understand C++ class structures, search code, and analyze subsystems.

Provides a retrieval/MCP knowledge server for the Unreal Engine Python API, enabling AI agents to retrieve real signatures and documentation before writing code.

Open-source MCP server connecting AI agents (Claude, Cursor, GitHub Copilot, Gemini, and more) to Unreal Engine 5.7, editor and runtime (C++ plugin + .NET sidecar).

MCP server that connects Claude to Unreal Engine 5.8 via the official Remote Control API, enabling asset manipulation, actor control, level operations, and AI-powered 3D model generation (via Meshy) through natural language.

Enables AI assistants to search, compare, and get detailed information about MCP servers from the mcpcatalogs.com directory.

Search and retrieve detailed information about Swiss companies from the official Zefix register, including company profiles, corporate structures, and SHAB publications.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Provides real-time system metrics and information through a Model Context Protocol interface, enabling access to CPU usage, memory statistics, disk information, network status, and running processes.

Enables playing and observing a running Unreal Engine 5 game through virtual gamepad, keyboard, and mouse input, plus screen capture, log streaming, and UMG UI inspection and control.

Enables MCP clients to perform intelligent web searches via Traylinx's Agentic Search API, returning text summaries and structured data like HTML, images, and news.

Adaptive Epistemic Triage & Recall Engine (AETRE) — Bayesian Value-of-Information (VOI) and queueing operations engine for academic peer review, grant study sections, and venture capital dealflow.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

Connects MCP-compatible coding agents to VMware vCenter to query information about virtual machines, hosts, clusters, datastores, datacenters, and networks.

An MCP server that enables LLMs to discover, reason about, compose, and execute sktime estimator workflows via a registry-driven semantic engine.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

Enables Claude to control Unreal Engine 5 editor, spawn actors, build materials, author Blueprints, and more, with zero plugin installation.

Entroly is a high-performance context engineering engine that optimizes AI coding agent context windows through information-theoretic compression and reinforcement learning. It gives your AI 100% codebase visibility while reducing token consumption by an average of 78%.It's learns fully autonomously.

Enables querying detailed information about characters, echoes, and character profiles from the Wuthering Waves game, returning results in LLM-optimized Markdown format.

A Model Context Protocol server that provides natural language access to Cortex API, enabling users to query information about their system's structure and make faster decisions about services, incidents, and team responsibilities.