Sponsored by Deepsite.site

Awslabs Nova Canvas Mcp Server

Created By
awslabs9 months ago
Content

AWS MCP Servers

A suite of specialized MCP servers that bring AWS best practices directly to your development workflow.

GitHub License

Available Servers

This monorepo contains the following MCP servers:

Core MCP Server

PyPI version

A server for managing and coordinating other AWS Labs MCP servers.

  • Automatic MCP Server Management
  • Planning and guidance to orchestrate AWS Labs MCP Servers
  • UVX Installation Support
  • Centralized Configuration

Learn more | Documentation

Amazon Bedrock Knowledge Bases Retrieval MCP Server

PyPI version

A server for accessing Amazon Bedrock Knowledge Bases.

  • Discover knowledge bases and their data sources
  • Query knowledge bases with natural language
  • Filter results by data source
  • Rerank results

Learn more | Documentation

AWS CDK MCP Server

PyPI version

A server for AWS CDK best practices.

  • AWS CDK project analysis and assistance
  • CDK construct recommendations
  • Infrastructure as Code best practices

Learn more | Documentation

Cost Analysis MCP Server

PyPI version

A server for AWS Cost Analysis.

  • Analyze and visualize AWS costs
  • Query cost data with natural language
  • Generate cost reports and insights

Learn more | Documentation

Amazon Nova Canvas MCP Server

PyPI version

A server for generating images using Amazon Nova Canvas.

  • Text-based image generation with customizable parameters
  • Color-guided image generation with specific palettes
  • Workspace integration for saving generated images
  • AWS authentication through profiles

Learn more | Documentation

Installation and Setup

Each server has specific installation instructions. Generally, you can:

  1. Install uv from Astral
  2. Install Python using uv python install 3.13
  3. Configure AWS credentials with access to required services
  4. Add the server to your MCP client configuration

Example configuration for Amazon Q CLI MCP (~/.aws/amazonq/mcp.json):

{
  "mcpServers": {
    "awslabs.core-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.core-mcp-server@latest"],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR",
        "MCP_SETTINGS_PATH": "path to your mcp settings file"
      }
    },
    "awslabs.nova-canvas-mcp-server": {
      "command": "uvx",
      "args": [
        "awslabs.core-mcp-server@latest",
      ],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    },
    "awslabs.bedrock-kb-retrieval-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.bedrock-kb-retrieval-mcp-server@latest"],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    },
    "awslabs.cost-analysis-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.cost-analysis-mcp-server@latest"],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    },
    "awslabs.cdk-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.cdk-mcp-server@latest"],
      "env": {
        "FASTMCP_LOG_LEVEL": "ERROR"
      },
    }
  }
}

See individual server READMEs for specific requirements and configuration options.

Documentation

Comprehensive documentation for all servers is available on our documentation website.

Documentation for each server:

Documentation includes:

  • Detailed guides for each server
  • Installation and configuration instructions
  • API references
  • Usage examples

Security

See CONTRIBUTING for more information.

License

This project is licensed under the Apache-2.0 License.

Disclaimer

Before using an MCP Server, you should consider conducting your own independent assessment to ensure that your use would comply with your own specific security and quality control practices and standards, as well as the laws, rules, and regulations that govern you and your content.

Server Config

{
  "mcpServers": {
    "awslabs-nova-canvas-mcp-server": {
      "command": "uvx",
      "args": [
        "awslabs.nova-canvas-mcp-server@latest"
      ],
      "env": {
        "AWS_PROFILE": "your-aws-profile",
        "AWS_REGION": "us-east-1",
        "FASTMCP_LOG_LEVEL": "ERROR"
      }
    }
  }
}
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
DeepChatYour AI Partner on Desktop
CursorThe AI Code Editor
WindsurfThe new purpose-built IDE to harness magic
Serper MCP ServerA Serper MCP Server
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
ChatWiseThe second fastest AI chatbot™
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Tavily Mcp
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Playwright McpPlaywright MCP server
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Amap Maps高德地图官方 MCP Server