iflow-mcp_neoai-agent-rds-mcp

# RDS MCP Server A Model Context Protocol (MCP) server for monitoring and analyzing Amazon RDS(MySQL, PostgreSQL) instances information, metrics and slowquery logs. ## Installation Install directly from GitHub using pipx: ```bash # 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.git ``` ## Quick Start ### Authentication Options The 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: ```bash 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: ```bash 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: ```bash 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. ## Available Tools The server provides the following tools for RDS instance management and monitoring: 1. Get RDS instance details: ```python await get_db_info( database_name="your-db-instance", region="your-aws-region" ) ``` 2. Get database metrics: ```python await get_database_metrics( database_name="your-db-instance", time_range_minutes=30 ) ``` 3. Get slow queries: ```python await get_database_queries( database_name="your-db-instance", time_range_minutes=30 ) ``` 4. Get instance performance metrics: ```python await get_top_rds_load( data…