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sample-stateful-agentic-ai-workflows-aurora-mcp-agentcore MCP Server

aws-samples/sample-stateful-agentic-ai-workflows-aurora-mcp-agentcore

Score: 53.5 Rank #10681 Database
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Stateful agentic AI workflows on Aurora PostgreSQL with MCP, AgentCore, Strands Agents, pgvector, RLS, and LangGraph checkpoints.

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Overview

aws-samples/sample-stateful-agentic-ai-workflows-aurora-mcp-agentcore is a Python tool licensed under MIT-0. Stateful agentic AI workflows on Aurora PostgreSQL with MCP, AgentCore, Strands Agents, pgvector, RLS, and LangGraph checkpoints.

Ranked #10681 out of 24840 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT-0

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 4

4 stars → early stage

Freshness 25% 3d ago

Last commit 3d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 1
Description Good
License MIT-0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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