Unity-MCP connects AI coding agents to the Unity game engine through MCP, letting them work with the Unity Editor and running games. It is used by game developers to generate code, automate development and testing, debug projects, and add AI-driven behavior to games. The catalogue entries provide skills, instructions, an MCP integration, and settings for operating this workflow.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add IvanMurzak/Unity-MCP --skill pinggit clone --depth 1 https://github.com/IvanMurzak/Unity-MCPWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ivanmurzak/unity-mcp/ping)<a href="https://agentmods.dev/skills/ivanmurzak/unity-mcp/ping"><img src="https://agentmods.dev/badge/skills/ivanmurzak/unity-mcp/ping/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ivanmurzak/unity-mcp/ping"><img src="https://agentmods.dev/badge/skills/ivanmurzak/unity-mcp/ping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 41 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.00428 |
| Opus 5.5 | $0.00014 | $0.00171 |
| Sonnet 5.5 | $0.00007 | $0.00086 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
ping scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Ping
Lightweight readiness probe. Returns the input message or 'pong' if omitted.
Inputs
message(optional) — when present, echoed back verbatim.
Behavior
No I/O, no Unity API calls — pure echo. Ideal for measuring round-trip latency or confirming the MCP transport is alive before invoking a heavier tool.
How to Call
unity-mcp-cli run-system-tool ping --input '{
"message": "string_value"
}'
For complex input (multi-line strings, code), save the JSON to a file and use:
unity-mcp-cli run-system-tool ping --input-file args.jsonOr pipe via stdin (recommended):
unity-mcp-cli run-system-tool ping --input-file - <<'EOF' {"param": "value"} EOF
Troubleshooting
If unity-mcp-cli is not found, either install it globally (npm install -g unity-mcp-cli) or use npx unity-mcp-cli instead.
Read the /unity-initial-setup skill for detailed installation instructions.
Input
| Name | Type | Required | Description |
|---|---|---|---|
message |
string |
No | Optional message to echo back. |
Input JSON Schema
{
"type": "object",
"properties": {
"message": {
"type": "string"
}
}
}
Output
Output JSON Schema
{
"type": "object",
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
]
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago Changed · +2 lines 544eb76fe694
- 1mo ago First seen · 81 lines · 36 tokens per session scan A d2e034a9e261
ping is a skill published in the GitHub repository IvanMurzak/Unity-MCP (4,491 stars, last pushed today), licensed Apache-2.0. It adds 36 tokens to every session and 428 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
unity-addressables
Use Addressables with explicit grouping, loading, update, and fallback rules instead of ad hoc content loading.
unity-build-release
Run Unity builds, CI, and release packaging with reproducible configuration and platform-aware checks.
unity-csharp-standards
Apply Unity-specific C# standards that preserve readability, testability, and safe engine integration.
unity-editor-tooling
Create Unity editor tools that make content production safer, faster, and less dependent on tribal knowledge.
unity-gameplay-patterns
Use common Unity gameplay architecture patterns without hiding ownership inside scenes or inspector wiring.
unity-input-system
Implement Unity input with explicit action maps, device support, and UI/gameplay separation.