"Unreal Engine 5 (UE5) Resources and Information" matching MCP servers:

A code understanding and generation system designed for Galacean Engine that helps LLMs comprehend the engine architecture and generate high-quality engine code based on user intent.

Turn the AI you already use into a game studio. Describe a game and Claude or Cursor builds it as a real 3D browser game: playable immediately, hosted on its own link, shareable with anyone. No engine, no build step, no code knowledge, nothing to export. Your AI ships the whole thing: it pulls free 3D assets, rigs characters, and playtests its own build until the game works. Free to start.

Provides coding agents with persistent, evidence-backed project memory and knowledge across sessions, using a structured memory tree and local knowledge base.

Enables agents to generate typed client code from OpenAPI, GraphQL, Protobuf, and SQL specs using MetaEngine's code-generation platform.

Enables AI assistants to create and edit 3D scenes, geometry, scripts, and builds in the Forma engine, with changes reflected live in the editor.

Exposes 31 high-assurance agentic coding skills as MCP tools and resources, enabling AI agents to invoke structured workflows across DISCIPLINE, TECHNIQUE, KNOWLEDGE LAYER, and REFERENCE registers.

Enables coding agents to search and retrieve persistent repository memory created by Cliper, providing context, gaps, architecture, and timeline information via MCP tools.

A TypeScript MCP server that lets AI assistants interact with the Godot 4.x game engine: not just editing files, but playing the game.

MCP server for bidirectional AI agent collaboration — 5 tools for spawning and communicating with any agent CLI

Enables Claude Code to run OpenAI Codex (GPT-5) tasks asynchronously in the background, filtering out thinking logs to save 95% context tokens and allowing parallel execution.

Bridges Codex to a local Claude Opus 5 collaborator via Claude Code, enabling controlled read-only consultation or write-capable tasks on allowed workspaces with independent verification.

Connects AI assistants to a local Codex engine for performing deep, project-level code reviews and automated refactoring. It enables context-aware bug fixes and multi-file analysis through a standardized bridge between modern AI clients and local development environments.

Integrates the Qwen3-Coder 30B parameter model with Claude Code through 5 specialized tools for code review, explanation, generation, bug fixing, and optimization. Optimized for 64GB RAM systems with advanced performance settings including flash attention and parallel processing.

Extended MCP server for OpenAI with support for GPT-5 family, Codex models, and automatic API endpoint selection, enabling chat interactions via the openai_chat tool.

Sovereign, deterministic, local-first context and DAG lifecycle engine with native stdio MCP server for autonomous AI coding agents.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Query GPT-5, Claude, Gemini, and Grok simultaneously through one MCP server for multi-model AI perspectives in your coding agents.

A FastMCP integration with Hyperskill that allows AI agents to explain programming topics and search for programming resources using Hyperskill's learning materials.

A local project intelligence, batch coding, and self-learning engine for Codex that enables task-level batch coding, reduces token usage, and automatically learns skills.

Enables AI agents to build games with the Cocos4 engine by providing high-level scaffolding tools and transparently proxying native MCP tools.

Enables users to run shell commands with compressed output, extract information from large files, drive local opencode and Codex agents, perform browser-automation tasks, and monitor runs via a live dashboard.

Shared debugging memory for AI coding agents. Agents search, report, patch, and verify bug fixes through 5 MCP tools. Verified by proof, not upvotes.

Connects Claude, Cursor, VS Code, and other MCP clients to OpenCode's headless API, enabling users to ask questions, implement features, monitor background work, respond to questions and permissions, and review changes across projects. It provides tools, resources, and prompts for setup, multi-project workflows, and asynchronous coding task management.

dev-brain-mcp

MCP servers that let Claude Code delegate to other coding CLIs (Copilot, Codex, Gemini) for cross-model second opinions, structured reviews, and multi-engine consultations.

Wraps the Codex engine in a local stdio MCP server so any MCP-capable agent can run coding turns as tools, with blocking runs, start/poll progress, command approvals, interrupts, thread resume, and token usage. It also supports custom OpenAI-compatible providers, letting teams blocked by signup, payment, or network limits still use the engine.

Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.

Connects MCP clients such as Claude, Cursor, and VS Code to OpenCode's headless API so users can ask questions, implement features, run and monitor background coding jobs, supply replies and permissions, and review changes across multiple projects. Supports async job tracking, structured outputs, and project-scoped resources and prompts.

https://gopls-mcp.org/ MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.

Connects MCP clients such as Claude, Cursor, and VS Code to OpenCode's headless API so users can ask questions, implement features, run background coding jobs, answer permission and question prompts, and review changes across multiple projects. It also exposes project-aware resources, prompts, and job monitoring tools with configurable provider and model defaults.