What is AWS Serverless MCP Backend?

40/100
Trust Score (E)
🔴 Avoid

AWS Serverless MCP Backend is a AI tool that Reference architecture for a serverless MCP backend on AWS, enabling AI assistants to query AWS costs using Lambda and API Gateway.. It has a Nerq Trust Score of 40/100 (E). 3 GitHub stars. Published by https://github.com/mamonaco1973/aws-serverless-mcp. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

40
TRUST SCORE
E
GRADE
3
STARS
0
DOWNLOADS

What AWS Serverless MCP Backend Does

AWS Serverless MCP Backend is a mcp_server in the AI tool category. Reference architecture for a serverless MCP backend on AWS, enabling AI assistants to query AWS costs using Lambda and API Gateway.. It is published by https://github.com/mamonaco1973/aws-serverless-mcp and has no specified license. With 3 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use AWS Serverless MCP Backend

AWS Serverless MCP Backend is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Authorhttps://github.com/mamonaco1973/aws-serverless-mcp
CategoryAI tool
LicenseNot specified
Typemcp_server
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=aws-serverless-mcp-backend

Setup guide · Full safety report · Production review · Is it safe?

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Frequently Asked Questions

What is AWS Serverless MCP Backend used for?
AWS Serverless MCP Backend is a AI tool tool. Reference architecture for a serverless MCP backend on AWS, enabling AI assistants to query AWS costs using Lambda and API Gateway..
Is AWS Serverless MCP Backend free?
License: Check project page. AWS Serverless MCP Backend has 3 GitHub stars.
Is AWS Serverless MCP Backend safe?
AWS Serverless MCP Backend has a Nerq Trust Score of 40/100 (E). Evaluate carefully.
What are alternatives to AWS Serverless MCP Backend?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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