Model Extension Frameworks

MCP servers can expose tools to AI systems.

Two important implementation patterns from the outline:

Use Lambda for lightweight/stateless MCP functionality.

Agent
 ↓
MCP Client
 ↓
MCP Server
 ↓
Lambda
 ↓
Tool

Good conceptual fit:

• lightweight tools
• stateless operations
• event-driven/serverless execution

Use Amazon ECS when the MCP server needs more complex containerized execution.

Agent
 ↓
MCP Client
 ↓
MCP Server
 ↓
ECS
 ↓
Complex Tool

This is useful when the tool environment needs more control or complexity than a simple Lambda function.

Client libraries provide a consistent access pattern.

Agent Application
       ↓
MCP Client Library
       ↓
MCP Server
       ↓
Tools

2.2 — Implement Model Deployment Strategies

This section is about where and how the foundation model runs or is accessed.

The deployment choice depends on:

Performance
+ Cost
+ Latency
+ Traffic
+ Model size
+ GPU requirements
+ Availability
+ Scaling requirements