aws-security-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
aws-security-mcp by groovyBugify | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 83 | ★ 85,748 |
| 30d uses | — | — |
| Score | 43 | 77 |
| Official | — | ✓ |
| Categories | SecurityOps & InfraAI / LLM Tools | Knowledge GraphAI / LLM ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 10 mo ago | this month |
aws-security-mcp · Summary
A MCP server connecting AI assistants to AWS security services for infrastructure analysis.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
aws-security-mcp · Use cases
- Security analysts can query AWS resources using natural language to identify misconfigurations
- DevOps teams can monitor blast radius of specific resources across AWS organization
- Compliance officers can check security status across multiple AWS accounts
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
aws-security-mcp · Install
Local Setup
- Clone and set up the repository:
``bash git clone https://github.com/groovyBugify/aws-security-mcp.git cd aws-security-mcp uv venv source .venv/bin/activate uv pip install -r requirements.txt ``
- Configure your AWS credentials via SSO or environment variables
- Configure Claude Desktop:
``json { "mcpServers": { "aws-security": { "command": "/path/to/mcp-proxy", "args": ["http://localhost:8000/sse"] } } }``
memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}