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Harness the power of MCP servers with Amazon Bedrock Agents
- AI agents extend LLMs by interacting with external systems, executing workflows, and maintaining contextual awareness.
- Amazon Bedrock Agents orchestrate FMs with data sources and applications through API integration and knowledge base augmentation.
- Model Content Protocol (MCP) standardizes LLM connections to diverse enterprise systems, enabling easier AI assistance deployment.
- MCP facilitates broader access to tools, enhances discoverability, encourages common workspaces for agents, and promotes interoperability.
- Developed by Anthropic, MCP connects AI models to various data sources and tools through a client-server architecture.
- MCP architecture includes hosts, clients, servers, local data sources, and remote services to enable seamless access to information and tools.
- Using MCP with Amazon Bedrock Agents involves creating agents that can access MCP servers dynamically at runtime.
- Prerequisites for implementing the solution include an AWS account, familiarity with FMs, AWS CLI, Python 3.11, and AWS CDK CLI.
- The solution involves creating MCP clients, configuring agent action groups, and utilizing inline agents on Amazon Bedrock.
- MCP integration with Amazon Bedrock enables building applications for managing AWS spend and offering contextual intelligence to users.
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