Token-efficient facade and Codex skill for MCP for Unity: 96% smaller measured tool-schema surface, compact results, batching, and recovery.
A small compatibility layer that lets AI clients use MCP for Unity without loading its full tool surface into every prompt.
The model sees six stable tools and discovers the required Unity operation on demand. The facade then compacts routine output, preserves full results for bounded retrieval, and batches related work without forcing every intermediate response into the conversation.
Measured against MCP for Unity v10.1.0, the model-visible schema fell from 23,280 estimated tokens to 915, while 377 indexed Unity operations remained reachable. The reproducible benchmark measures context footprint, not API billing.
[!IMPORTANT] This project does not replace the Unity package or its Python server. MCP for Unity remains the backend. Register the facade, not the upstream server, with the AI client. Exposing both tool surfaces removes most of the context savings.
On 2026-08-24, the scripts in benchmarks/ produced these results against MCP for Unity v10.1.0 (c14de1e6).
Measurement Upstream surface Efficient facade Reduction ------:---:---: Model-visible tools 48 6 87.50% Serialized tool schemas 93,119 chars 3,657 chars 96.07% Approximate schema tokens¹ 23,280 915 96.07% Synthetic 250-object hierarchy² 628,110 chars 875 chars 99.86% Approximate hierarchy tokens¹ 157,028 219 99.86% Action argument surface 5,566 fields 1,798 fields 67.70%
The dynamic catalog indexed 377 Unity operations. A small deterministic English/Russian search suite returned the expected operation at rank 1 for all 15 cases and within the top 3 for all 15 cases. The release candidate passes 35 facade tes
From the project README.
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