# AI agent products
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AI agents and tools in AWS Marketplace help you quickly deploy pre-built, production-ready AI capabilities from trusted partners without months of development work. You can discover specialized AI agents for tasks like customer service, content creation, and data analysis, as well as individual AI tools like guardrails, knowledge bases, and integration protocols.

## What are AI agents?
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AI agents are autonomous software systems that use AI to reason, plan, and complete tasks on your behalf. Unlike traditional systems that follow fixed rules, agents operate independently and adapt through multi-step processes. They combine foundation models for reasoning and planning with discrete tools to process requests, retrieve information, and execute tasks such as searching knowledge bases, calling APIs, or updating systems based on your needs.

AI agents can handle complex workflows by:
+ Perceiving their environment across multiple modalities (text, image, audio, and video)
+ Making decisions based on context and goals
+ Taking actions to achieve specific objectives
+ Adapting their approach based on results

## What are AI tools?
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AI tools are specialized components that enhance and support AI agent functionality. AI tools include the following types:
+ **Guardrails** – Security and compliance controls that ensure AI safety and prevent misuse.
+ **Knowledge bases** – Specialized data sources that provide domain expertise and contextual information.
+ **Integration protocols** – Standards like AWS MCP Server(MCPl) that enable seamless communication between systems.
+ **Business logic components** – Custom workflows and decision-making rules that define how the system processes information and executes tasks.

## Discovery and deployment options
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You can find AI agents and tools through multiple methods:

### Semantic search
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Use natural language prompts to discover relevant agents and tools. For example, search for "social media content creator" or "data analysis assistant" to see recommended solutions with descriptions, key features, and user ratings.

### Category browsing
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Browse by business use case categories such as:
+ Content creation
+ Customer service
+ Data analysis
+ Security and compliance
+ Marketing automation

You can learn more about AI agent and tool discovery in [Discovering AI agents and tools](ai-agent-discovery.md).

### Deployment flexibility
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Choose from multiple deployment options based on your security and integration requirements:
+ **API-based deployment** - Access vendor-hosted agents through API endpoints
+ **Container deployment** - Run agents in your own AWS environment

## Model Context Protocol (MCP) support
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Many AI agents and tools support the AWS MCP Server, an open standard that enables seamless communication between AI systems. MCP-enabled solutions can be easily integrated into your existing agentic ecosystems, including:
+ Claude Desktop
+ Windsurf
+ Amazon Bedrock Agents
+ Other MCP-compatible platforms

When you purchase MCP-enabled agents or tools, AWS Marketplace simplifies authentication and provides configuration parameters for plug-and-play deployment.

## Integration with AWS services
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AI agents and tools from AWS Marketplace integrate seamlessly with AWS AI services:
+ **Amazon Bedrock AgentCore** – Incorporate third-party capabilities into your Bedrock workflows. For more information, see [What is Amazon Bedrock AgentCore?](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/what-is-bedrock-agentcore.html).
+ **Amazon Q** – Extend Q's capabilities with specialized agents and tools.
+ **AWS Lambda** – Deploy agents as serverless functions.
+ **Amazon ECS/EKS** – Run containerized agents at scale.

## Getting started
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To get started with AI agents and tools:

1. **Browse the catalog** – Visit the **AI Agents & Tools** section in AWS Marketplace.

1. **Evaluate options** – Review product descriptions, compliance certifications, and user ratings.

1. **Subscribe** – Complete the subscription process through standard AWS Marketplace workflows.

1. **Deploy** – Configure and deploy using your preferred method (API, container, or SaaS).

1. **Integrate** – Connect agents and tools to your existing workflows and systems.

For more information about specific deployment methods, refer to:
+ [Container products in AWS Marketplace](buyer-what-is-aws-marketplace-for-containers.md)
+ [SaaS products through AWS Marketplace](buyer-saas-products.md)

# Discovering AI agents and tools
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AWS Marketplace provides multiple ways to discover AI agents and tools that match your specific business needs. The discovery experience is designed to help you quickly find the right capabilities without navigating multiple vendor platforms or complex procurement processes.

## Semantic search
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The AI Agents & Tools solutions page features semantic search that understands natural language queries. Instead of searching for specific product names, describe what you want to accomplish:

**Example searches:**
+ "customer support automation"
+ "financial data analysis"
+ "content creation for marketing"
+ "security threat detection"
+ "inventory management assistant"

The search returns relevant agents and tools with brief descriptions highlighting their relevance to your query. You can refine results by providing additional prompts or using category filters.

## Browsing AI agents and tools by category
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Browse AI agents and tools by the following business use case categories:
+ **Content creation** – Social media content generators, marketing copy assistants, technical documentation tools, video and image creation agents.
+ **Customer service** – Support ticket automation, chat and voice assistants, knowledge base integration tools, sentiment analysis agents.
+ **Data analysis** – Business intelligence assistants, report generation tools, predictive analytics agents, data visualization helpers.
+ **Security and compliance** – Threat detection agents, compliance monitoring tools, risk assessment assistants, audit automation agents.
+ **Industry-specific solutions** – Healthcare data processing, financial services automation, retail inventory management, manufacturing optimization.

### Filtering and evaluation
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Narrow your search using filters for:
+ **Deployment option** - API, container, or MCP-enabled
+ **Pricing model** - Pay-as-you-go, contract, or free trial
+ **Industry vertical** - Healthcare, financial services, retail, etc.
+ **Compliance requirements** - SOC 2, HIPAA, GDPR certifications
+ **Integration protocol** - AWS MCP Server support

## Product detail pages
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Each AI agent and tool listing includes:
+ **Comprehensive descriptions** - Detailed capabilities and use cases
+ **Technical specifications** - API schemas, system requirements, and integration details
+ **Compliance certifications** - Security and regulatory compliance information
+ **User ratings and reviews** - Feedback from other AWS customers
+ **Demonstration videos** - Visual examples of agent capabilities
+ **Documentation links** - Setup guides and API references
+ **Pricing details** - Clear pricing models and cost estimates

## Buy with AWS integration
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Discover and purchase AI agents and tools directly from partner websites using Buy with AWS. This integration allows you to:
+ Browse partner catalogs while maintaining AWS billing.
+ Access specialized agents not available in the main marketplace.
+ Leverage existing AWS relationships and pricing agreements.
+ Maintain consistent procurement processes.

For more information about Buy with AWS, see [Using Buy with AWS as a buyer](buy-with-aws.md).

## Best practices for search
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To get the most relevant results:
+ **Be specific about your use case** - "Customer service for e-commerce" vs. "customer service"
+ **Include your industry** - "Healthcare compliance monitoring" vs. "compliance monitoring"
+ **Specify integration needs** - "Slack integration for team collaboration"
+ **Consider your deployment preferences** - "On-premises container deployment"

## Next steps
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After discovering relevant AI agents and tools:
+ **Evaluate multiple options** - Compare features, pricing, and compliance certifications
+ **Review documentation** - Understand integration requirements and capabilities
+ **Start with free trials** - Test functionality before making commitments
+ **Check compliance requirements** - Ensure agents meet your security and regulatory needs
+ **Plan integration** - Consider how agents will fit into your existing workflows

For detailed information about subscribing to and deploying AI agents and tools, see [AI agent products](buyer-ai-agents-products.md).

# Integration with Amazon Bedrock AgentCore
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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**  
Products that can be deployed on Amazon Bedrock AgentCore Runtime are only available to be launched in the US East (N. Virginia) Region.

## Integration with AWS services
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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
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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
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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
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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
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AI agents and tools that support the AWS MCP Server 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
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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.