Rds Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Rds Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
A Model Context Protocol (MCP) server for monitoring and analyzing Amazon RDS(MySQL, PostgreSQL) instances information, metrics and slowquery logs.
Install directly from GitHub using pipx:
# Install
pipx install git+https://github.com/neoai-agent/rds-mcp.git
# Or run without installation
pipx run git+https://github.com/neoai-agent/rds-mcp.gitThe server supports multiple AWS authentication methods:
#### Option 1: IAM Roles (Recommended for EC2/ECS) When running on AWS infrastructure with IAM roles attached, you can omit AWS credentials:
rds-mcp --openai-api-key "YOUR_OPENAI_API_KEY" --region "YOUR_AWS_REGION"#### Option 2: AWS Access Keys For local development or when IAM roles are not available:
rds-mcp --access-key "YOUR_AWS_ACCESS_KEY" --secret-access-key "YOUR_AWS_SECRET_KEY" --region "YOUR_AWS_REGION" --openai-api-key "YOUR_OPENAI_API_KEY"#### Option 3: Environment Variables You can also set AWS credentials via environment variables:
rds-mcp --access-key "YOUR_AWS_ACCESS_KEY" --secret-access-key "YOUR_AWS_SECRET_KEY" --region "YOUR_AWS_REGION" --openai_api_key "YOUR_OPENAI_API_KEY"Note: When using IAM roles, the server will automatically use the default AWS credential chain, which includes IAM roles, environment variables, and AWS credentials file.
The server provides the following tools for RDS instance management and monitoring:
await get_db_info(
database_name="your-db-instance",
region="your-aws-region"
)await get_database_metrics(
database_name="your-db-instance",
time_range_minutes=30
)await get_database_queries(
database_name="your-db-instance",
time_range_minutes=30
)await get_top_rds_load(
database_name="your-db-instance",
time_range_minutes=30
)For development setup:
git clone https://github.com/neoai-agent/rds-mcp.git
cd rds-mcp
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -e ".[dev]"MIT License - See LICENSE file for details
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.