mcp-server-amazon-bedrock

mcp-server-amazon-bedrock

ImageProcessingCloudPythonAmazonBedrockAmazonNovaJavascriptTypescriptGoRubyRTool

About This Server

Model Context Procotol(MCP) server for using Amazon Bedrock Nova Canvas to generate images

Server Information

šŸ“‹ Overview:

This webpage is the GitHub repository page for "mcp-server-amazon-bedrock" by zxkane. The project provides a Model Context Protocol (MCP) server to use Amazon Bedrock's Nova Canvas for generating images.


⭐ Key Points:
* The project is a server implementing the Model Context Protocol (MCP).
* It leverages Amazon Bedrock's Nova Canvas model for AI image generation.
* The server can be integrated with Claude Desktop.

* The project is open-source, licensed under the MIT License.


šŸ” Main Findings:
* The server allows users to generate images from text descriptions using Amazon Bedrock's Nova Canvas model.
* Key features include negative prompts, configuration options, seed control, and input validation.
* The documentation covers prerequisites (AWS account, credentials, Node.js), installation, AWS credentials configuration, and integration with Claude Desktop.
* The "generateimage" tool is available with parameters for prompt, negative prompt, width, height, quality, cfgscale, seed, and numberOfImages.

* Prompt engineering guidelines are provided to achieve optimal results with negative prompts.


šŸ“Š Details:
* The project utilizes Javascript and Typescript programming languages.
* Installation requires cloning the repository, installing dependencies, and building the project.
* Performance is affected by resolution, number of images, and quality settings.

* AWS credentials must be configured using environment variables, AWS credentials file, or IAM role.


šŸŽÆ Conclusion:
The "mcp-server-amazon-bedrock" repository provides a functional MCP server for generating images using Amazon Bedrock's Nova Canvas. It offers detailed documentation and configuration options for users to integrate the server into their projects.

Server Features

High-quality Image Generation

High-quality image generation from text descriptions using Amazon's Nova Canvas model

Negative Prompt Control

Advanced control through negative prompts to refine image composition

Flexible Configuration

Flexible configuration options for image dimensions and quality

Deterministic Image Generation

Deterministic image generation with seed control

Robust Input Handling

Robust input validation and error handling

Provider Information

Zxkane logo

Zxkane

cloud Provider

Visit Provider Website

Quick Actions

Visit Website

MCP Configuration

Available Tools

generate_image