Is io.github.FunplayAI/funplay-unity-mcp safe to use?

io.github.FunplayAI/funplay-unity-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.FunplayAI/funplay-unity-mcp?

io.github.FunplayAI/funplay-unity-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

Is io.github.FunplayAI/funplay-unity-mcp actively maintained?

io.github.FunplayAI/funplay-unity-mcp is actively maintained — last commit was 0 days ago. It has 20 GitHub stars.

io.github.FunplayAI/funplay-unity-mcp

stdio bridge for the local Unity Editor MCP server from FunplayAI/funplay-unity-mcp.

ActiveNot tested

Other

★ 20GitHub

29DNo CVEsactive

Quick Install

{
  "mcpServers": {
    "io-github-funplayai-funplay-unity-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Setup guide

No install config available. Check the server's README for setup instructions.

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-funplayai-funplay-unity-mcp)](https://mcppedia.org/s/io-github-funplayai-funplay-unity-mcp)

Should you use this server?

stdio bridge for the local Unity Editor MCP server from FunplayAI/funplay-unity-mcp.

✓

Is it safe?

No package registry to scan.

No authentication — any process on your machine can connect.

License not specified.

✓

Is it maintained?

Last commit 0 days ago. 20 stars.

Will it work with my client?

Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.

README

Funplay MCP for Unity

The Most Advanced MCP Server for Unity Editor

中文 | English

💖 If you find this project useful, please consider giving it a Star. It helps more Unity developers discover it and supports ongoing development.

Funplay MCP for Unity is an MIT-licensed Unity Editor MCP server that lets AI assistants like Claude Code, Cursor, Windsurf, Codex, and VS Code Copilot operate directly inside your running Unity project.

Describe your game in one sentence — your AI assistant builds it in Unity through Funplay MCP for Unity's 79 built-in tools for scene creation, script generation, runtime validation, input simulation, performance analysis, and editor automation.

"Build a snake game with a 10x10 grid, food spawning, score UI, and game-over screen"

Your AI assistant handles it through Funplay MCP for Unity: creates the scene, generates all scripts, sets up the UI, and configures the game logic — all from a single prompt.

Quick Start

If you just want to get connected fast, do these three things:

Install the Unity package from the Git URL
Start Funplay > MCP Server
Use the built-in one-click client configuration

1. Install via UPM (Git URL)

In Unity, go to Window → Package Manager → + → Add package from git URL:

https://github.com/FunplayAI/funplay-unity-mcp.git

💡 Before you clone or install, a quick ⭐ on GitHub would be greatly appreciated.

2. Start the MCP Server

Menu: Funplay → MCP Server to start the server.

The server starts on http://127.0.0.1:8765/ by default.

3. Configure Your AI Client

Use the built-in One-Click MCP Configuration in the Funplay > MCP Server window first.

Select your target client, click Configure, and the package writes the recommended MCP config entry for you.

If you want project-specific AI guidance for the current Unity project, open Funplay → Project Skills (Experimental) to choose supported platforms and install built-in plus optional skills.

If you prefer to edit config files manually, use the examples below as fallback references:

Claude Code / Claude Desktop

{
  "mcpServers": {
    "funplay": {
      "type": "http",
      "url": "http://127.0.0.1:8765/"
    }
  }
}

Cursor

{
  "mcpServers": {
    "funplay": {
      "url": "http://127.0.0.1:8765/"
    }
  }
}

VS Code

{
  "servers": {
    "funplay": {
      "type": "http",
      "url": "http://127.0.0.1:8765/"
    }
  }
}

Trae

{
  "mcpServers": {
    "funplay": {
      "url": "http://127.0.0.1:8765/"
    }
  }
}

Kiro

{
  "mcpServers": {
    "funplay": {
      "type": "http",
      "url": "http://127.0.0.1:8765/"
    }
  }
}

Codex

[mcp_servers.funplay]
url = "http://127.0.0.1:8765/"

Windsurf

Use the same JSON structure as Cursor unless your local Windsurf version requires a different MCP config format.

4. Verify the Connection

Open your AI client

... View full README on GitHub

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Score Breakdown

MCPpedia Score

Click each category to see evidence

29D

Last scored 1h ago

How we score →

Security

3/30

No known vulnerabilities.

○

Known CVEs — No package registry to scan

○

Tool safety — No tools to analyze

○

Tool poisoning — No tools to analyze

○

Injection vectors — No tools to analyze

✓

Tool stability — Tool definitions stable

○

Dependency health — No package to analyze

✗

License — No license specified

○

Authentication — No authentication required

○

Repository — active repo

CVEs checked daily via OSV.dev. Score algorithm is open source.

Reviews

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.FunplayAI/funplay-unity-mcp safe to use?: io.github.FunplayAI/funplay-unity-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.FunplayAI/funplay-unity-mcp?: io.github.FunplayAI/funplay-unity-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.FunplayAI/funplay-unity-mcp?: io.github.FunplayAI/funplay-unity-mcp is compatible with Claude Desktop, Cursor, Claude Code, and most MCP clients that support stdio transport. It uses stdio transport.
Is io.github.FunplayAI/funplay-unity-mcp actively maintained?: io.github.FunplayAI/funplay-unity-mcp is actively maintained — last commit was 0 days ago. It has 20 GitHub stars.

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Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Funplay MCP for Unity

The Most Advanced MCP Server for Unity Editor

中文 | English

💖 If you find this project useful, please consider giving it a Star. It helps more Unity developers discover it and supports ongoing development.

"Build a snake game with a 10x10 grid, food spawning, score UI, and game-over screen"

Your AI assistant handles it through Funplay MCP for Unity: creates the scene, generates all scripts, sets up the UI, and configures the game logic — all from a single prompt.

Quick Start

If you just want to get connected fast, do these three things:

Install the Unity package from the Git URL
Start Funplay > MCP Server
Use the built-in one-click client configuration

1. Install via UPM (Git URL)

In Unity, go to Window → Package Manager → + → Add package from git URL:

https://github.com/FunplayAI/funplay-unity-mcp.git

💡 Before you clone or install, a quick ⭐ on GitHub would be greatly appreciated.

2. Start the MCP Server

Menu: Funplay → MCP Server to start the server.

The server starts on http://127.0.0.1:8765/ by default.

3. Configure Your AI Client

Use the built-in One-Click MCP Configuration in the Funplay > MCP Server window first.

Select your target client, click Configure, and the package writes the recommended MCP config entry for you.

If you want project-specific AI guidance for the current Unity project, open Funplay → Project Skills (Experimental) to choose supported platforms and install built-in plus optional skills.

If you prefer to edit config files manually, use the examples below as fallback references:

Claude Code / Claude Desktop

{
  "mcpServers": {
    "funplay": {
      "type": "http",
      "url": "http://127.0.0.1:8765/"
    }
  }
}

Cursor

{
  "mcpServers": {
    "funplay": {
      "url": "http://127.0.0.1:8765/"
    }
  }
}

VS Code

{
  "servers": {
    "funplay": {
      "type": "http",
      "url": "http://127.0.0.1:8765/"
    }
  }
}

Trae

{
  "mcpServers": {
    "funplay": {
      "url": "http://127.0.0.1:8765/"
    }
  }
}

Kiro

{
  "mcpServers": {
    "funplay": {
      "type": "http",
      "url": "http://127.0.0.1:8765/"
    }
  }
}

Codex

[mcp_servers.funplay]
url = "http://127.0.0.1:8765/"

Windsurf

Use the same JSON structure as Cursor unless your local Windsurf version requires a different MCP config format.

4. Verify the Connection

Open your AI client

... View full README on GitHub