> For the complete documentation index, see [llms.txt](https://docs.noctra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.noctra.ai/model-context-protocol-mcp.md).

# Model Context Protocol (MCP)

At the core of Noctra’s intelligence lies the Model Context Protocol (**MCP**), a cutting-edge framework that optimizes AI models for decentralized environments. MCP is the brain behind Noctra’s agents, enabling them to process real-time on-chain and off-chain data with contextual precision. Its modular architecture supports custom AI models and pre-built templates, making it accessible to developers of all skill levels.

By leveraging Aptos’ high-throughput infrastructure, MCP ensures low-latency, scalable computation, allowing agents to make informed decisions in dynamic markets or immersive GameFi scenarios. MCP is the key to unlocking AI’s full potential in the decentralized world.

* Data Collection: Tracks user growth, revenue, community feedback, token holding patterns, and risk events.
* Dynamic Storage: Stores data on-chain or via secure APIs for real-time access.