Integration with Amazon Bedrock AgentCore - AWS Marketplace
Integration with AWS servicesBenefits of MCP integrationSecurity and compliance considerations

Integration with Amazon Bedrock AgentCore

AI agents and tools with API deployment options can be integrated with Amazon Bedrock AgentCore, AWS's fully managed capability for developing, deploying, and connecting AI agents. Depending on the specific service and deployment model, you may be able to subscribe to paid agents or use free and open-source options through various AWS interfaces.

Note

The Amazon Bedrock AgentCore Runtime launch experience is currently available in the US East (N. Virginia) Region.

Integration with AWS services

AI agents and tools from AWS Marketplace are designed to work seamlessly with various AWS services, enhancing your existing AI and machine learning workflows.

Amazon Bedrock integration

AI agents and tools can be integrated with Amazon Bedrock to enhance your foundation model applications in the following ways:

  • Use specialized knowledge bases to augment Amazon Bedrock foundation models.

  • Incorporate domain-specific agents into Amazon Bedrock Agent workflows.

  • Apply guardrails and safety measures to Amazon Bedrock outputs.

  • Connect Amazon Bedrock to external systems through agent capabilities.

Amazon Q integration

Extend Amazon Q capabilities with specialized agents and tools in the following ways:

  • Add industry-specific knowledge to Amazon Bedrock responses.

  • Enable Amazon Bedrock to perform specialized tasks through agent integration.

  • Enhance Amazon Bedrock reasoning capabilities with specialized tools.

  • Connect Amazon Bedrock to enterprise systems through agent interfaces.

Serverless and container integration

Deploy AI agents and tools using AWS compute services in the following ways:

  • Run containerized agents on Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS) for scalable deployment.

  • Deploy lightweight agents as AWS Lambda functions for serverless operation.

  • Use AWS Fargate for managed container execution without server management.

  • Implement auto-scaling based on demand patterns.

Benefits of MCP integration

AI agents and tools that support the Model Context Protocol offer several integration advantages, including the following:

  • Standardized communication – Consistent interface across different agents and tools.

  • Simplified discovery – Automatic capability advertisement to MCP-compatible clients.

  • Reduced integration effort – No custom API integration required.

  • Pre-configured functionality – Connect agents and tools with minimal configuration.

  • Future compatibility – Support for emerging MCP-compatible platforms.

When evaluating AI agents and tools, look for the MCP-compatible badge to identify solutions that offer these integration benefits.

Security and compliance considerations

When integrating AI agents and tools with your AWS environment, consider the following security and compliance factors:

  • Data handling – Understand how agents process and store your data.

  • Authentication mechanisms – Review authentication options and security best practices.

  • Compliance certifications – Verify that agents meet your regulatory requirements.

  • Network configuration – Configure appropriate VPC settings and security groups.

  • IAM permissions – Set up least-privilege access for agent interactions.

AWS Marketplace provides compliance information for each AI agent and tool to help you make informed decisions based on your security requirements.