mcps

Stack

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.

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.

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.

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.