"Resources and Information about C# Programming in Unity" matching MCP servers:

MCP Unity Server to integrate Unity Editor game engine with different AI Model clients (e.g. Claude Desktop, Windsurf, Cursor)

A bridge enabling seamless communication between Unity and Large Language Models via the Model Context Protocol, allowing developers to automate workflows, manipulate assets, and control the Unity Editor programmatically.

Allows MCP clients like Claude Desktop or Cursor to perform Unity Editor actions, including asset management, scene modification, and game mechanic testing.

An MCP server for Unity that enables AI agents to query and control the Unity Editor, providing tools for scene management, object manipulation, and asset browsing.

Enables AI agents to access Unity Editor project information, scene hierarchies, object inspection, selection state, and console logs through MCP.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

A Model Context Protocol server that enables Claude to interact directly with Unity projects, providing tools for script creation, asset management, and project building.

Enables Claude to control Unity Hub and Editor headlessly, allowing automated game building, asset generation, and PBR texture creation.

Lets DeepSeek Harness AI agents directly control the Unity Editor through 34 tools for scene, GameObject, asset, prefab, menu, testing, and console operations, with automatic token authentication and connection management.

Enables AI agents to control the Unity Editor through MCP, allowing scene building, runtime scripting, visual QA, and more.

Enables AI assistants to control and automate the Unity Editor, allowing them to build games and scenes from natural language commands.

A server that connects Unity with local large language models through Ollama, enabling developers to automate workflows, manipulate assets, and control the Unity Editor programmatically without relying on cloud-based LLMs.

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.

A bridge that enables controlling Unity Editor through natural language commands via AI assistants, allowing users to create materials, build projects, manage scenes, and configure settings without manual interaction.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables AI assistants like Claude to interact with humans through intuitive GUI dialogs, supporting text input, choices, confirmations, and information displays.

Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.