GUIDE · COMPANIES · #796
AWS shows how to feed Amazon Bedrock Data Automation outputs into Salesforce Agentforce via MCP
An AWS blog post outlines an architecture that uses Amazon Bedrock Data Automation and the Model Context Protocol (MCP) to process unstructured evidence (video, audio, images, documents) stored in Amazon S3 and make structured insights available to Salesforce Agentforce inside the Salesforce console. The pattern uses S3 events, AWS Lambda, DynamoDB and EventBridge, and routes agent queries through Amazon Bedrock AgentCore Gateway to retrieve processed outputs via MCP.
KEY POINTS
- An AWS blog post outlines an architecture that uses Amazon Bedrock Data Automation and the Model Context Protocol (MCP) to process unstructured evidence (video, audio, images, documents) stored in Amazon S3 and make structured insights available to Salesforce Agentforce inside the Salesforce console.
- The pattern uses S3 events, AWS Lambda, DynamoDB and EventBridge, and routes agent queries through Amazon Bedrock AgentCore Gateway to retrieve processed outputs via MCP.
- This matters because it demonstrates a modular, production-oriented pattern for integrating multimodal AI extraction on AWS with a commercial agent frontend (Salesforce Agentforce), enabling agencies to query processed evidence without leaving Salesforce.
WHY IT MATTERS
This matters because it demonstrates a modular, production-oriented pattern for integrating multimodal AI extraction on AWS with a commercial agent frontend (Salesforce Agentforce), enabling agencies to query processed evidence without leaving Salesforce.