AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.
MCP server that provides a starting point for using the following awslabs MCP servers
Configure the MCP server in your MCP client configuration (e.g., for Amazon Q Developer CLI, edit ~/.aws/amazonq/mcp.json):
{
"mcpServers": {
"awslabs.core-mcp-server": {
"command": "uvx",
"args": [
"awslabs.core-mcp-server@latest"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
},
"autoApprove": [],
"disabled": false
}
}
}
or docker after a successful docker build -t awslabs/core-mcp-server .:
{
"mcpServers": {
"awslabs.core-mcp-server": {
"command": "docker",
"args": [
"run",
"--rm",
"--interactive",
"--env",
"FASTMCP_LOG_LEVEL=ERROR",
"awslabs/core-mcp-server:latest"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
The server exposes the following tools through the MCP interface:
prompt_understanding - Helps to provide guidance and planning support when building AWS Solutions for the given promptAn MCP tool server that provides a stateful terminal.
A DuckDuckGo search plugin for Model Context Protocol (MCP), compatible with Claude Code. Provides web search functionality with advanced navigation and content exploration features.
MCP server for FindMine's product styling AI
An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.