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Data warehouse operations and queries.
Amazon Redshift is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 90/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding Amazon Redshift to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm mcp/redshift-mcp-serverReview the upstream source before running this command.
{
"raw": "name: awslabs-redshift\nimage: mcp/redshift-mcp-server\ntype: server\nmeta:\n category: data-analytics\n tags:\n - aws\nabout:\n title: Amazon Redshift\n description: Data warehouse operations and queries.\n icon: https://avatars.githubusercontent.com/u/3299148?v=4\nsource:\n project: https://github.com/awslabs/mcp\n commit: 636aca8e109b5559006044f035bb89c16e9e5410\n directory: src/redshift-mcp-server\nconfig:\n description: Configure AWS credentials for Redshift access\n env:\n - name: AWS_REGION\n example: us-east-1\n value: \"{{awslabs-redshift.aws_region}}\"\n - name: AWS_PROFILE\n example: default\n value: \"{{awslabs-redshift.aws_profile}}\"\n parameters:\n type: object\n properties:\n aws_region:\n type: string\n default: us-east-1\n aws_profile:\n type: string\n default: default\n",
"path": "servers/awslabs-redshift/server.yaml"
}