guidance-for-vibe-coding-with-aws-mcp-servers

Hands-on guidance for AI-accelerated AWS development using AWS MCP Servers. Learn to leverage AI coding assistants to enhance your development workflows with AWS best practices.

aws-solutions-library-samplesai-mlPythonMIT
GitHub
0Tools
2Findings
36Stars
Mar 22, 2026Last Scanned
⚠1 critical · 1 low findings detected

Security Category Deep Dive

⚡
Prompt Injection
Prompt & context manipulation attacks
69
Maturity
14
Rules
5
Sub-Categories
1
Gaps
64%
Implemented
56
Tests
1
Stories
PI-DIRDirect Input Injection
100%3 rules
Injection via tool descriptions and parameter fields
GAP-001Prompt Injection Coverage GapMissing detection coverage for emerging prompt injection attack variants not addressed by current rules
PI-INDIndirect / Gateway Injection
100%4 rules
Hidden instructions via external content and tool responses
PI-CTXContext Manipulation
100%2 rules
Context window saturation and prior-approval exploitation
PI-ENCEncoding & Obfuscation
100%3 rules
Payload hiding via invisible chars, base64, schema fields
PI-TPLTemplate & Output Poisoning
100%2 rules
Injection via prompt templates and runtime tool output
Framework Coverage
OWASP MCP Top 1014/14
MITRE ATLAS14/14
CoSAI MCP2/14
OWASP Agentic Top 1012/14
Kill Chain Phases
0Initial Access
0Defense Evasion
0Execution
0Persistence
guidance-for-vibe-coding-with-aws-mcp-servers Security Report — MCP Sentinel