AWS Bedrock Adds MCP Support: Enterprise AI Gets Standardized
Amazon Web Services announces MCP support in Bedrock. Enterprise customers can now connect Claude, Llama, and other models to their AWS infrastructure using the standard protocol. Here is what this means for enterprise AI.
AWS Joins the MCP Ecosystem
At AWS re:Invent 2024, Amazon announced that Bedrock now supports the Model Context Protocol. This means enterprise customers can connect any Bedrock model to MCP servers, enabling standardized access to databases, APIs, and internal tools.
Supported Models
- Claude 3.5 Sonnet - Full MCP support with tool use
- Claude 3 Opus - MCP with extended context
- Llama 3.1 70B - MCP tool calling support
- Mistral Large - MCP integration available
- Amazon Titan - Coming Q1 2025
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Try GetResponse FreeAWS-Native MCP Servers
AWS is releasing managed MCP servers for popular AWS services. These run in your VPC and connect directly to your resources with IAM-based authentication.
Data Services
- • Amazon RDS MCP Server
- • Amazon DynamoDB MCP Server
- • Amazon S3 MCP Server
- • Amazon Redshift MCP Server
- • Amazon OpenSearch MCP Server
Compute & DevOps
- • Amazon ECS MCP Server
- • Amazon EKS MCP Server
- • AWS Lambda MCP Server
- • AWS CloudWatch MCP Server
- • AWS CodePipeline MCP Server
Quick Setup with CDK
import * as cdk from 'aws-cdk-lib';
import * as bedrock from 'aws-cdk-lib/aws-bedrock';
import * as mcp from '@aws-cdk/aws-bedrock-mcp';
const stack = new cdk.Stack(app, 'BedrockMCPStack');
// Create MCP server for RDS
const rdsMcpServer = new mcp.RdsMcpServer(stack, 'RdsMcp', {
database: myRdsInstance,
vpc: myVpc,
allowedPrincipals: [bedrockRole],
});
// Create MCP server for S3
const s3McpServer = new mcp.S3McpServer(stack, 'S3Mcp', {
bucket: myBucket,
allowedOperations: ['read', 'list'],
});
// Configure Bedrock agent with MCP
const agent = new bedrock.Agent(stack, 'MyAgent', {
foundationModel: bedrock.BedrockFoundationModel.ANTHROPIC_CLAUDE_3_5_SONNET,
mcpServers: [rdsMcpServer, s3McpServer],
});Enterprise Security Features
IAM Integration
MCP servers authenticate using IAM roles. No API keys to manage. Your existing IAM policies control what the AI can access.
VPC Isolation
MCP servers run in your VPC with no internet access. Data never leaves your network. PrivateLink endpoints for Bedrock API calls.
Audit Logging
Every MCP tool call is logged to CloudTrail. See exactly what data the AI accessed and when. Integration with AWS Security Hub.
Compliance
Bedrock MCP is SOC 2, HIPAA, and FedRAMP compliant. Data encryption at rest and in transit. Customer-managed KMS keys supported.
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Use Cases for Enterprise
Customer Support Automation
Connect Bedrock agents to your customer database, order system, and knowledge base. AI can look up orders, check inventory, and resolve issues without human intervention.
Data Analysis Copilot
Give analysts an AI assistant that can query Redshift, pull S3 reports, and generate visualizations. Natural language to SQL with full context of your data schema.
DevOps Assistant
AI that can check CloudWatch metrics, review deployment logs, and even trigger rollbacks. On-call engineers get intelligent assistance 24/7.
Document Processing
Process invoices, contracts, and forms. AI reads documents from S3, extracts data, and writes to DynamoDB. Fully automated document workflows.
Enterprise AI is Now Standardized
With AWS, Google Cloud, and Azure all supporting MCP, the protocol has become the enterprise standard for AI integration. Organizations can now build AI applications that work across clouds and models.
The days of vendor lock-in for AI tools are ending. Build your MCP servers once, and they work with any model on any cloud.
Bedrock MCP is available now in all AWS regions. Start with the free tier to experiment.
Build Enterprise MCP Solutions
TheModelContextProtocol.com is available for purchase. Perfect for enterprise MCP tools and services.