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Model Context Protocol - MCP

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Last updated 6 days ago

The Model Context Protocol (MCP) is the core of Context3D, a specialized protocol designed to streamline the interaction between user inputs (text, images, or video) and the AI model. MCP ensures precise interpretation of creative ideas and converts them into structured data for 3D model generation.

How MCP Works:

  • Context Structuring: MCP organizes text, image, and video inputs into a standardized format, capturing semantics, visual styles, motion dynamics, and technical requirements (e.g., resolution, scale, frame rate).

  • Prompt Enhancement: MCP refines user inputs to improve clarity and precision, such as extracting key frames from videos or clarifying ambiguous text descriptions.

  • Efficient Processing: MCP optimizes data flow, leveraging parallel processing for video frame analysis and reducing processing time to seconds.

  • Interoperability: MCP enables seamless integration with external AI models like Claude, DALL·E, or video-processing frameworks to enhance creative output.

Prompt / Image  →  MCP Encoder  →  Latent Mesh Diffusion (LM‑Diff)
                →  Geometry Decoder  →  Texturing Engine  →  GLTF/GLB/FBX/OBJ Output