--- title: "unity-mcp vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/coplaydev-unity-mcp-vs-moby-moby" tools: ["coplaydev-unity-mcp", "moby-moby"] --- # unity-mcp vs moby *GraphCanon updated Jul 11, 2026* ## Verdict Pick unity-mcp when unity-mcp is primarily C#; moby is Go; pick moby when moby is primarily Go; unity-mcp is C#. [unity-mcp](https://coplaydev.github.io/unity-mcp/) reports 12k GitHub stars, 1.3k forks, and 73 open issues, last pushed Jul 11, 2026. [moby](https://mobyproject.org/) has 72k stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [unity-mcp's repository](https://github.com/CoplayDev/unity-mcp) and [moby's repository](https://github.com/moby/moby). | | [unity-mcp](/tools/coplaydev-unity-mcp.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 12,335 | 71,899 | | Forks | 1,309 | 19,126 | | Open issues | 73 | 3,821 | | Language | C# | Go | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [unity-mcp](/tools/coplaydev-unity-mcp.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 73 | 3.8k | | Security scan | No MCP manifest | No criticals | | Full report | [trust report](/tools/coplaydev-unity-mcp/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Choose when ### Choose unity-mcp if… - unity-mcp is primarily C#; moby is Go. - License: unity-mcp is MIT, moby is Apache-2.0. - Tags unique to unity-mcp: ai, ai integration, anthropic, claude. ### Choose moby if… - moby is primarily Go; unity-mcp is C#. - License: moby is Apache-2.0, unity-mcp is MIT. - Tags unique to moby: containers, docker, go, golang. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ## When NOT to use unity-mcp - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use moby - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between unity-mcp and moby? unity-mcp: Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.. moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose unity-mcp over moby? Choose unity-mcp over moby when unity-mcp is primarily C#; moby is Go; License: unity-mcp is MIT, moby is Apache-2.0; Tags unique to unity-mcp: ai, ai integration, anthropic, claude. ### When should I choose moby over unity-mcp? Choose moby over unity-mcp when moby is primarily Go; unity-mcp is C#; License: moby is Apache-2.0, unity-mcp is MIT; Tags unique to moby: containers, docker, go, golang; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment. ### When should I avoid unity-mcp? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid moby? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is unity-mcp or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 12,335). Stars measure visibility, not whether either tool fits your constraints. ### Are unity-mcp and moby open source? Yes - both are open-source projects on GitHub (unity-mcp: MIT, moby: Apache-2.0). ### Where can I find alternatives to unity-mcp or moby? GraphCanon lists graph-backed alternatives at [unity-mcp alternatives](/tools/coplaydev-unity-mcp/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([unity-mcp markdown twin](/tools/coplaydev-unity-mcp/alternatives.md), [moby markdown twin](/tools/moby-moby/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/coplaydev-unity-mcp-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, unity-mcp or moby? unity-mcp: Very active. moby: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for unity-mcp and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [unity-mcp trust report](/tools/coplaydev-unity-mcp/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=coplaydev-unity-mcp`](/api/graphcanon/graph?tool=coplaydev-unity-mcp) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_