{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/5"}],"enrichment":{"capability":"Provides a Model Context Protocol (MCP) server that enables AI assistants to discover, explore, and safely query Amazon Redshift clusters and serverless workgroups through a standardized interface.","skillfed_tags":["mcp-server","aws-redshift","ai-integration"],"use_cases":["Enable AI coding assistants (Cursor, VS Code) to explore Redshift schema and run exploratory queries without leaving the editor.","Build chatbots that answer business questions by discovering relevant tables and executing aggregation queries on Redshift data.","Automate metadata documentation by having an AI assistant traverse all clusters, databases, and schemas to generate data dictionaries.","Create data governance tools that audit which tables and columns exist across multiple Redshift environments.","Integrate Redshift query capabilities into multi-tool AI agent workflows for data analysis and reporting."],"what_it_does":"This package is an MCP server that bridges AI assistants to Amazon Redshift by exposing cluster discovery, metadata browsing, and query execution as standardized protocol tools. It works with both provisioned Redshift clusters and serverless workgroups, allowing assistants to enumerate databases, schemas, tables, and columns, then execute SQL queries in a read-only mode that rejects write statements.\n\nThe server integrates with boto3 and botocore to authenticate against AWS using standard credential chains (profiles, environment variables, or IAM roles). It depends on pydantic for configuration validation, loguru for logging, sqlglot for query parsing, and the mcp library for protocol compliance. Installation is straightforward via pip, though it requires Python 3.10+ and properly configured AWS credentials with appropriate Redshift permissions.","worth_installing":"Yes. The package is actively maintained, has no known vulnerabilities, installs with low friction, and solves a clear problem for developers who want AI assistants to interact safely with Redshift. The permissive Apache-2.0 license and broad Python version support (3.10\u20133.13) make it suitable for most environments. Install it if you use Redshift and want MCP-compatible AI tooling; skip it if you have no Redshift clusters or do not use MCP clients."},"id":"awslabs-redshift-mcp-server","links":{"html":"https://skillfed.io/packages/awslabs-redshift-mcp-server","md":"https://skillfed.io/packages/awslabs-redshift-mcp-server.md","pypi":"https://pypi.org/project/awslabs-redshift-mcp-server/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":null,"license_treatment":"permissive","name":"awslabs.redshift-mcp-server","python_support":"supports_current","summary":"An AWS Labs Model Context Protocol (MCP) server for Redshift"},"popularity":{"monthly_downloads":98931,"position":13049,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.0.34"}