Last updated
March 16, 2026
MCP profile
AWS MCP Server
AWS MCP Server lets AI securely access AWS using docs, API calls, and SOP workflows.
Cloud & InfrastructurePackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
The MCP Proxy for AWS package provides two ways to connect AI applications to MCP servers on AWS:
1. Using it as a proxy - It becomes a lightweight, client-side bridge between MCP clients (AI assistants like Claude Desktop, Kiro CLI) and MCP servers on AWS. (See MCP Proxy) 2. Using it as a library - Programmatically connect popular AI agent frameworks (LangChain, LlamaIndex, Strands Agents, etc.) to MCP servers on AWS. (See Programmatic Access)
Capabilities
The MCP Proxy for AWS package provides two ways to connect AI applications to MCP servers on AWS:1. Using it as a proxy - It becomes a lightweight, client-side bridge between MCP clients (AI assistants like Claude Desktop, Kiro CLI) and MCP servers on AWS. (See MCP Proxy) 2. Using it as a library - Programmatically connect popular AI agent frameworks (LangChain, LlamaIndex, Strands Agents, etc.) to MCP servers on AWS. (See Programmatic Access)
Tools & Endpoints
Example Workflow
Add the following configuration to your MCP client config file (e.g., for Kiro CLI, edit ~/.kiro/settings/mcp.json):
> Cline users should not use --log-level argument because Cline checks the log messages in stderr for text "error" (case insensitive).
Using the pre-built public ECR image:
Or using a locally built image:
What Problems It Solves
- Add the following configuration to your MCP client config file (e.g., for Kiro CLI, edit ~/.kiro/settings/mcp.json):
- > Cline users should not use --log-level argument because Cline checks the log messages in stderr for text "error" (case insensitive).
- Using the pre-built public ECR image:
- Or using a locally built image:
Specifications
Status
live
Industry
Cloud & Infrastructure
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Requirements
- Install Python 3.10+
- Install the uv package manager
- AWS credentials configured (via AWS CLI, environment variables, or IAM roles)
- (Optional, for docker users) Install Docker Desktop
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
Python
pip install mcp-proxy-for-aws2
Configure
Configuration
json
{
"mcpServers": {
"<mcp server name>": {
"disabled": false,
"type": "stdio",
"command": "uv",
"args": [
"--directory",
"/path/to/mcp_proxy_for_aws",
"run",
"server.py",
"<SigV4 MCP endpoint URL>",
"--service",
"<your service code>",
"--profile",
"default",
"--region",
"us-east-1",
"--read-only",
"--log-level",
"INFO",
]
}
}
}Performance
Usage
Quick Reference
- Name
- AWS MCP Server
- Function
- AWS MCP Server lets AI securely access AWS using docs, API calls, and SOP workflows.
- Transport
- Package
- Language
- Python
- Install
- pip install mcp-proxy-for-aws
- Source
- External (Registry)
- License
- Open Source
Get started
Ready to integrate this MCP server?
Book a demo to see how this server fits your workflow, or explore the full catalog.