Connect your account, then chat with AI to run tools.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service in the cloud. Run complex analytical queries using SQL, analyze massive datasets with columnar storage, and integrate with business intelligence tools for data analytics and reporting at scale.
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsDomain knowledge for Amazon Redshift — workflow patterns, data models, and gotchas for your AI agent.
Redshift uses PostgreSQL-compatible SQL. Data is organized in Schemas and Tables. Columnar storage optimizes analytical queries.
public); contain tables.schema.table; have columns, distribution style, sort keys.public.users) when referencing tables.require or verify-full.Universal fetch tool that retrieves any row, table schema, or metadata using smart ID routing.
Analyze data distribution across Redshift slices to identify skew. Shows how evenly data is distributed, which affects query performance.
Execute SQL statements on Redshift database. Supports all SQL operations including COPY and UNLOAD.
Get compact, token-efficient database schema description optimized for AI text-to-SQL. Returns tables with columns, types, and Redshift distribution i...
Get Redshift-specific table design information including distribution key, sort keys, and column encoding. Essential for query optimization.
Inspect Redshift schema or table in detail. Get detailed information about tables, columns, distribution, and sort keys.
Browse rows from a Redshift table with filtering, column selection, sorting, and pagination.
List Redshift tables with filtering and metadata options. Includes Redshift-specific information like distribution keys and sort keys.
Profile a column's data distribution: min, max, distinct count, null percentage, and most frequent values.
Search Redshift database using SQL queries or structured syntax. Returns ranked results with IDs and titles. Maximum 100 results per search.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service in the cloud. Run complex analytical queries using SQL, analyze massive datasets with columnar storage, and integrate with business intelligence tools for data analytics and reporting at scale. It provides 10 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/redshift. Authentication is handled automatically.
Amazon Redshift provides 10 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
Amazon Redshift uses API Key. Amazon Redshift requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect Amazon Redshift to any MCP client in minutes
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.
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