What is awslabs.amazon-bedrock-agentcore-mcp-server?

66/100
Trust Score (B-)
⚠️ Use Caution

awslabs.amazon-bedrock-agentcore-mcp-server is a pypi that Model Context Protocol (MCP) server for Amazon Bedrock AgentCore services. It has a Nerq Trust Score of 66/100 (B-). 0 GitHub stars. Published by Amazon Web Services, Primo Mu. Last analyzed March 2026.

Why This Score

Trust & Safety Overview

66
TRUST SCORE
B-
GRADE
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STARS
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DOWNLOADS

What awslabs.amazon-bedrock-agentcore-mcp-server Does

awslabs.amazon-bedrock-agentcore-mcp-server is a pypi in the pypi category. Model Context Protocol (MCP) server for Amazon Bedrock AgentCore services. It is published by Amazon Web Services, Primo Mu and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use awslabs.amazon-bedrock-agentcore-mcp-server

awslabs.amazon-bedrock-agentcore-mcp-server is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorAmazon Web Services, Primo Mu
Categorypypi
LicenseNot specified
Typepypi
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=awslabs-amazon-bedrock-agentcore-mcp-server

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

Frequently Asked Questions

What is awslabs.amazon-bedrock-agentcore-mcp-server used for?
awslabs.amazon-bedrock-agentcore-mcp-server is a pypi tool. Model Context Protocol (MCP) server for Amazon Bedrock AgentCore services.
Is awslabs.amazon-bedrock-agentcore-mcp-server free?
License: Check project page. awslabs.amazon-bedrock-agentcore-mcp-server has 0 GitHub stars.
Is awslabs.amazon-bedrock-agentcore-mcp-server safe?
awslabs.amazon-bedrock-agentcore-mcp-server has a Nerq Trust Score of 66/100 (B-). Use with caution.
What are alternatives to awslabs.amazon-bedrock-agentcore-mcp-server?
Top alternatives: . See full comparison.

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