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Custom Connectors

Full read-write Claude connector for Amazon Redshift

Let Claude run scoped queries and controlled writes against your Amazon Redshift data

Stop hand-writing SQL in a query editor just to explore a table or load a batch. Claude queries the cluster, proposes the change the data implies, and runs inserts, updates, or COPY loads through a scoped database user, with every write reviewed before it executes.

Amazon Redshift is AWS's cloud data warehouse, where teams store analytics, product, and operational data and query it with SQL. People want Claude to do real work against it: run queries, inspect schemas, and make controlled writes like loading data or running a transformation without leaving the conversation.

What is an Amazon Redshift MCP server?

A Amazon Redshift MCP server is a small hosted service that exposes Amazon Redshift's data and actions to Claude over the Model Context Protocol, so Claude can records, tables, and queries inside your own account. We build it as a custom connector with separate read and write tools, and destructive actions stay gated behind your approval.

What can Amazon Redshift's current connector do today?

Today, there is no first-party Claude connector that runs SQL against a live Amazon Redshift cluster, and most clusters sit inside a VPC behind security groups that a hosted connector cannot reach. A custom Redshift connector closes that gap with a scoped database user, so Claude can query and make controlled writes through a path you actually allow.

What does full read-write Amazon Redshift access unlock?

Full read-write Amazon Redshift access lets Claude run parameterized queries, insert and update rows, load staged data, and apply schema or transformation changes against a cluster you control. The data exploration, cleanup, and routine modeling that used to mean hand-writing SQL in a query editor happens in conversation, with every write reviewed before it runs.

  • Insert or update rows in a specified table using parameterized statements
  • Run a query to explore a table, then propose the change it implies
  • Run a COPY to load data from an S3 stage into a target table after you approve it
  • Apply a schema change such as adding a column or creating a view
  • Run a transformation or backfill, showing affected row counts first
  • Inspect schemas, tables, and table sizes to plan a change

Can Claude run queries against Amazon Redshift?

Yes. Claude can run queries against Amazon Redshift through a scoped database user, inspecting schemas, tables, and table sizes to explore your data. Read tools are kept separate from write tools, so exploration runs freely while Claude never gets more access than the user you grant on the cluster.

Can Claude insert or load data into Amazon Redshift?

Claude can insert and update rows in Amazon Redshift using parameterized statements, and run a COPY to load staged data from S3 into a target table. These writes are exposed as separate tools and run only after you approve them, with affected row counts shown before a backfill or transformation goes through.

Can Claude change schemas or drop tables in Amazon Redshift?

Claude can apply schema changes in Amazon Redshift such as adding a column or creating a view through a gated write tool. Destructive actions like delete, drop, and truncate stay behind a confirmation step: Claude prepares the statement and shows what it targets, but it executes only once you approve.

How an Amazon Redshift connector works

We build a small MCP server that connects to Amazon Redshift as a scoped database user, granting only the schemas, tables, and privileges the work needs. Read tools (query, describe schema) and write tools (insert, update, copy, alter) are separated, and destructive actions like delete, drop, or truncate require your confirmation. The connector never has more access than the database user you grant, and it reaches a VPC-bound cluster through IP allowlisting or a security-group path you allow.

Frequently asked questions

Can Claude write to an Amazon Redshift cluster, not just run queries?
Yes, through a custom connector. Inserts, updates, COPY loads, and schema changes are exposed as separate write tools that use parameterized statements and run only after you approve them. There is no first-party Claude connector that writes to a live Redshift cluster, so a purpose-built MCP server scoped to a database user you control is what gives Claude that access.
How does Claude connect to Amazon Redshift securely behind our VPC?
The MCP server authenticates as a Redshift database user you create and grants only the schemas, tables, and privileges the work needs. Because most clusters live inside a VPC, the connector reaches yours through IP allowlisting or a security-group path you allow. Claude never gets more access than the user you grant, and you can revoke that user at any time.
Will Claude delete rows or drop tables without my confirmation?
No. Delete, drop, and truncate are gated write tools held behind a confirmation step, and large updates surface affected row counts before running. Claude can prepare the statement and show exactly what it targets, but it only executes after you approve. You decide which actions run automatically and which always require review.

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