Data Engineer
Move data, query data, cache data, and reason about pipelines without context-switching to a SQL client.
For engineers who live between transactional databases, analytical stores, and the queues that connect them. Postgres and MongoDB cover the relational/document split, Redis handles cache and queue inspection, AWS knowledge bases ground answers in your warehouse docs, and sequential thinking helps when a query plan needs a slow read.
// The bundle (5 servers)
- PostgreSQL MCP Official
Run analytical and transactional queries against your primary relational store.
Official PostgreSQL MCP server — query and inspect Postgres databases with read-only access for safe AI-powered data analysis.
- MongoDB MCP Official
Inspect document collections and aggregation pipelines for non-relational data.
Official MongoDB MCP server — query collections, inspect schemas, and manage documents through AI-powered natural language.
- Redis MCP Official
Peek at cache state and queues when debugging a slow or stuck pipeline.
Redis MCP server — interact with Redis cache and data structures through AI — get, set, search, and analyze cached data.
- AWS Knowledge Base MCP Official
Ground answers in your internal warehouse and runbook docs via Bedrock knowledge bases.
Official Amazon Bedrock Knowledge Base MCP server — connect AI to your AWS knowledge bases for RAG-powered enterprise search.
- Sequential Thinking MCP Official
Force step-by-step reasoning when designing a multi-stage migration or query plan.
Official structured thinking server — enable AI to use step-by-step reasoning for complex problem solving and analysis.
// Swap ideas
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Neon MCP replaces PostgreSQL MCP
If you're on Neon, branch databases per experiment without provisioning.
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SQLite MCP replaces PostgreSQL MCP
For local prototyping and one-off analysis on file-backed data.