MCP Server for Amazon Redshift
by snahmod
This is a Model Context Protocol (MCP) server implementation designed for Amazon Redshift. It enables AI models to interact with Redshift databases through a standardized interface.
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What is MCP Server for Amazon Redshift?
The MCP Server for Amazon Redshift is a server that allows AI models to interact with Amazon Redshift databases using the Model Context Protocol (MCP). It provides a standardized interface for accessing and querying data within Redshift.
How to use MCP Server for Amazon Redshift?
To use the server, clone the repository, install dependencies, configure the .env
file with your Redshift connection details, and start the server using npm start
. You can choose between stdio
and SSE
transport types. Then, connect to the server using an MCP-compatible client and send MCP messages to interact with the database.
Key features of MCP Server for Amazon Redshift
Connect to Amazon Redshift databases
List tables, views, and materialized views
Retrieve schema information for database objects
Execute read-only SQL queries
Environment variable configuration
Schema filtering support
Use cases of MCP Server for Amazon Redshift
Enabling AI assistants like Claude to query Redshift data
Building data-driven AI applications that require access to Redshift
Integrating Redshift data into machine learning workflows
Providing a standardized interface for accessing Redshift data from various AI models
FAQ from MCP Server for Amazon Redshift
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standardized way for AI models to interact with external resources.
What databases are supported?
What databases are supported?
Currently, this server is specifically for Amazon Redshift.
What transport types are supported?
What transport types are supported?
The server supports stdio
and SSE
transport types.
How do I configure the server?
How do I configure the server?
Configuration is done through environment variables, specified in the .env
file.
How do I test the server?
How do I test the server?
Run npm test
to execute the test client and verify server functionality.