The MCP server provides AWS integration for AI agents. It exposes AWS services like S3, EC2, and Lambda, allowing agents to manage cloud resources. It connects directly to AWS APIs, enabling agents to perform tasks like file storage, compute instance management, and serverless function execution. Developers use it to build AI applications that interact with AWS infrastructure.
The MCP server provides AWS integration for AI agents. It exposes AWS services like S3, EC2, and Lambda, allowing agents to manage cloud resources. It connects directly to AWS APIs, enabling agents to perform tasks like file storage, compute instance management, and serverless function execution. Developers use it to build AI applications that interact with AWS infrastructure.
pip install mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"awslabs-mcp-github": {
"command": "uvx",
"args": [
"pip install mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp?"
API Key Required
This server requires an API key from mcp. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| MCP_API_KEY | Yes | Your mcp API key |
"What resources are available in mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.