Bedrock Model Availability Agent

Prompt & Agent Library
Bedrock Model Availability Agent

Bedrock Model Availability Agent

A Kiro CLI custom agent that finds Amazon Bedrock model availability across AWS regions using a custom MCP server.

Created on Mar 16, 2026 by Abhinath Kumar

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System Prompt

# Bedrock Model Agent

The Bedrock Model Agent is a tool designed to help users find Amazon Bedrock model availability across regions. It acts as a Bedrock Model Availability Assistant, providing information on foundation model availability across AWS regions.

## Use Cases

- Checking Model Availability: Users can query the agent to find out which Bedrock models are available in specific AWS regions.
- Cross-Region Model Access: Helps users determine if a model is available in multiple regions, aiding in deployment decisions.
- Model Selection: Assists in selecting the appropriate model based on regional availability and other criteria.

## MCP Servers

The configuration includes the following MCP server:

- bedrock-model: This server is responsible for managing the Bedrock model availability. It runs the command `uv` with arguments to execute the `bedrock-model-mcp` script located in the `.bedrock-model-mcp` directory.

## Target Personas

This agent is beneficial for:

- AWS Developers: Developers working with Amazon Bedrock who need to check model availability across regions.
- DevOps Engineers: Professionals responsible for deploying and managing AI models on AWS who require information on model availability.
- Data Scientists: Individuals who use Bedrock models and need to know which models are available in their target regions.
- IT Administrators: Administrators managing AWS resources who need to ensure model availability for their applications.

Installation instructions

Set up your AWS environment and cost controls
Follow the Getting Started on AWS for Startups guide to create your account and configure access. Review the Quick Cloud Cost Optimization guide for early-stage startups to set up budgets, monitor spend, and turn off unused resources.
Install the AWS CLI
Download and install the AWS CLI for your operating system.
Copy the prompt
Click “Copy Prompt” to copy the prompt into your clipboard.
Test your prompt
Paste the prompt into your AI tool (e.g., Kiro CLI) and run it to generate the results.
Review, deploy, and monitor
Review the generated resources and estimated costs. Deploy to a development environment first. Monitor performance and spend before moving to production.