MCP Architecture

As illustrated, the MCP Client functions as an input pipeline, receiving user queries. These are interpreted by SmartSync AI’s proprietary AI agent, which transmits structured requests to the appropriate MCP Server.

Each MCP Server uses a Memory Object Stream to manage real-time data flow:

• Read Stream: Fetches live tweets and news data from platforms like X API.

• Write Stream: Outputs matched KOLs, generated content, or analytical results back through the output pipeline.

The MCP Protocol is powered by gRPC, enabling:

• Low latency (<200ms)

• High throughput

• Seamless multi-source data fusion

Within the memory stream, proprietary AI agents perform sentiment analysis and content generation in real time. Some tasks are offloaded to ChainOpera AI’s Federated AI OS, reducing processing costs by 50%.