A starter kit for database and data-engineering work with Claude: bundles a database-specialist agent and database-expert rules with AWS and Airtable MCP servers and optimize/debug commands.
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Comprehensive toolkit for data engineers working with databases, ETL pipelines, and data infrastructure. Includes database design, optimization, and cloud services integration.
## Features
- Database design and optimization tools
- Cloud data services integration
- SQL query optimization and debugging
- Data pipeline automation
## Use Cases
- Building and optimizing data pipelines
- Managing cloud-based data infrastructure
- Database performance tuning
- Migrating data systems to the cloud
## TL;DR
A collection of six Claude resources for working with databases and cloud data sources. It pairs a database-focused agent and rules with MCP servers for AWS and Airtable, plus commands for optimizing and debugging.
- `database-specialist-agent` and `database-expert` rules for schema design and query tuning
- `aws-services-mcp-server` for connecting Claude to AWS services
- `airtable-mcp-server` for reading and writing Airtable data
- `optimize` and `debug` commands for iterating on queries and pipelines
## Collection Overview
**Collection Type:** Data Infrastructure
**Focus Area:** Databases & Cloud Data Sources
**Skill Level:** Intermediate to Advanced
## What's Included
## Collection Contents
Six resources for database and cloud data work
- **database-specialist-agent** (agent): An agent focused on database design and query work.
- **database-expert** (rules): Rules that guide Claude toward database best practices.
- **aws-services-mcp-server** (MCP): Connects Claude to AWS services.
- **airtable-mcp-server** (MCP): Connects Claude to Airtable data.
- **optimize** and **debug** (commands): Commands for optimizing and debugging queries and pipelines.
## Quick Start
Install the database agent and rules first, then add the AWS and Airtable MCP servers, and finish with the optimize and debug commands. Each component is independent and can be used on its own.
## Prerequisites
- Basic SQL knowledge
- AWS account (for AWS services integration)
- Understanding of database concepts
## Recommended Order
1. `database-specialist-agent`
2. `database-expert`
3. `aws-services-mcp-server`
4. `airtable-mcp-server`
5. `optimize`
6. `debug`
## Troubleshooting
### AWS MCP server auth conflicts with Airtable MCP credentials
Configure separate credential stores for each MCP server. Use AWS_PROFILE env var for aws-services-mcp-server, AIRTABLE_API_KEY for airtable-mcp-server. Keep credentials in different config files.
### Database agent and rules provide contradicting optimization advice
Install database-expert rules before database-specialist-agent. Agent will defer to rules for best practices. Update rules file to match your database engine (PostgreSQL, MySQL, etc.).
### MCP servers fail to initialize due to missing AWS SDK dependencies
Install AWS SDK before MCP servers: npm install @aws-sdk/client-rds @aws-sdk/client-dynamodb @aws-sdk/client-s3. Then reinstall aws-services-mcp-server to detect installed SDKs.
### Optimize command incompatible with database agent's schema format
Ensure database-specialist-agent and optimize command use same schema definition format. Install agent first to establish format, then install optimize command to inherit conventions.
### Collection setup fails without proper AWS region configuration
Set AWS_REGION environment variable before installing MCP servers: export AWS_REGION=us-east-1. Configure region in Claude Code settings under MCP server preferences. Restart Claude after setting.Comprehensive toolkit for data engineers working with databases, ETL pipelines, and data infrastructure. Includes database design, optimization, and cloud services integration.
A collection of six Claude resources for working with databases and cloud data sources. It pairs a database-focused agent and rules with MCP servers for AWS and Airtable, plus commands for optimizing and debugging.
database-specialist-agent and database-expert rules for schema design and query tuningaws-services-mcp-server for connecting Claude to AWS servicesairtable-mcp-server for reading and writing Airtable dataoptimize and debug commands for iterating on queries and pipelinesCollection Type: Data Infrastructure Focus Area: Databases & Cloud Data Sources Skill Level: Intermediate to Advanced
Six resources for database and cloud data work
Install the database agent and rules first, then add the AWS and Airtable MCP servers, and finish with the optimize and debug commands. Each component is independent and can be used on its own.
database-specialist-agentdatabase-expertaws-services-mcp-serverairtable-mcp-serveroptimizedebugConfigure separate credential stores for each MCP server. Use AWS_PROFILE env var for aws-services-mcp-server, AIRTABLE_API_KEY for airtable-mcp-server. Keep credentials in different config files.
Install database-expert rules before database-specialist-agent. Agent will defer to rules for best practices. Update rules file to match your database engine (PostgreSQL, MySQL, etc.).
Install AWS SDK before MCP servers: npm install @aws-sdk/client-rds @aws-sdk/client-dynamodb @aws-sdk/client-s3. Then reinstall aws-services-mcp-server to detect installed SDKs.
Ensure database-specialist-agent and optimize command use same schema definition format. Install agent first to establish format, then install optimize command to inherit conventions.
Set AWS_REGION environment variable before installing MCP servers: export AWS_REGION=us-east-1. Configure region in Claude Code settings under MCP server preferences. Restart Claude after setting.
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[](https://heyclau.de/entry/collections/data-engineering-suite)Data Engineering Suite side by side with 2 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.
| Field | A starter kit for database and data-engineering work with Claude: bundles a database-specialist agent and database-expert rules with AWS and Airtable MCP servers and optimize/debug commands. Open dossier | Full-featured backend development environment combining architecture planning, database design, and cloud services integration. Perfect for building scalable server-side applications. Open dossier | Complete AWS infrastructure management toolkit combining cloud architecture expertise, CloudFormation validation, and AWS services integration. Perfect for teams building and maintaining cloud-native applications on AWS. Open dossier |
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| Next steps | |||
| Trust | |||
| Review status | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed | ReviewedMaintainer reviewed |
| Package trust | Package not verified | Package not verified | Package not verified |
| Source provenance | Source-backed | Source-backed | Source-backed |
| Submitter | — | — | — |
| Install risk | Review first | Review first | Review first |
| Notes | Safety ✓ Privacy ✓ | Safety · Privacy ✓ | Safety ✓ Privacy · |
| Brand | — |  AWS | AWS |
| Category | collections | collections | collections |
| Source | Source-backed | Source-backed | Source-backed |
| Author | JSONbored | JSONbored | JSONbored |
| Added | 2025-10-02 | 2025-10-02 | 2025-10-02 |
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| Source repo | — | — | — |
| Safety notes | ✓The aws-services-mcp-server and airtable-mcp-server connect Claude to live AWS and Airtable accounts and can read and write data there; scope credentials to least privilege. Setup installs MCP servers and may require AWS SDK packages and environment variables (AWS_PROFILE, AWS_REGION); review each component before granting access. | — missing | ✓Bundles an AWS MCP server, a CloudFormation-validation hook, and infra agents that act against your AWS account using your own credentials and can run a hook automatically on events; review each tool's IAM scope and validate generated infrastructure changes before applying. |
| Privacy notes | ✓Configuring these MCP servers requires storing AWS credentials/profiles and an Airtable API key locally; treat these config files as secrets. Connecting Claude to AWS and Airtable exposes data from those accounts to the model during use. | ✓Bundles a cloud-services MCP server and backend agents that connect to databases and cloud accounts; configure them with your own credentials and review what connection strings, secrets, and infrastructure data each bundled tool reads before use. | — missing |
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| Config | — | — | — |
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| Claim | Unclaimed | Unclaimed | Unclaimed |
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