"A server for finding information about Unity (game engine)" matching MCP servers:

The first Model Context Protocol server for Unity projects. It gives AI assistants real understanding of Unity scenes, prefabs, and C# scripts through a queryable knowledge graph.

Indexes Unity projects into a SQLite database and exposes 23 MCP tools for Claude to explore scenes, prefabs, scripts, and assets via structured queries.

An MCP server providing 15 tools for Unity projects, including Unity Gaming Services LiveOps (Economy, Cloud Save, Cloud Code), build-size and bloat analysis, and store-compliance checks.

Enables an AI agent to auto-detect a game's engine (Unity, Unreal, Godot, Java, or native) from its files and then inspect, search, and patch the underlying binaries with in-process PE analysis, hex editing, pattern scanning, string extraction, checksums, diffing, and disassembly. Everything runs locally and offline with no cloud dependency or telemetry.

Read-only MCP server that provides AI agents with context about Unity project relationships, including scenes, prefabs, scripts, GUIDs, and code impact analysis.

Enables MCP clients such as Codex and CodeBuddy to operate the Unity Editor, search Unity APIs and game source code, and manage asset libraries through vector and graph retrieval.

Graph-based context extraction engine and MCP server for Unity projects, providing targeted code context slicing and compression for LLMs.

Unity MCP Server enables LLM-based clients to automate the Unity Editor, including scene manipulation, UI testing, input simulation, and code editing.

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.

Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.

Parses Unity text-serialized .prefab, .unity, and .asset files to output only Inspector-visible data in hierarchical YAML, reducing token usage by up to 96%.

An MCP server that gives AI assistants tools to generate AccelByte AGS uGUI prefabs in Unity projects, look up AccelByte Unity SDK best practices, search Bytewars C# example components, and configure SDK credentials from a Claude Code or Cursor session.

Provides AI agents with 200 deterministic micro-services covering code auditing, 3D/robotics, media processing, cryptography, blockchain settlement, AI safety, networking, and math, with automatic x402 USDC micropayments.

Graph RAG based context management engine for coding agents

Audits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.

A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.

A local code-intelligence engine for AI agents that indexes repositories into a PostgreSQL-backed code graph and serves structured, token-budgeted context over MCP and HTTP, enabling targeted queries on symbols, dependencies, contracts, and impact analysis.

Enables AI agents to control Cheat Engine for memory reading/writing, scanning, debugging, and .NET/Mono game reverse engineering through 43 Chinese-language MCP tools, with thread-safe named-pipe communication.

Enables AI agents to interact with Unity projects through multimodal vision, code analysis, asset management, and scene manipulation. Supports real-time Unity editor control, project search, script creation, and visual debugging through screenshots.

AI-powered static analysis for Unity projects, detecting common patterns, component relationships, and programming insights to augment developer workflows.