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by tonyzdev • Uncategorized
An MCP server that intercepts large command outputs and returns only their structure to reduce AI context bloat.
Understand the structure of large API responses without loading full data.
Preview database query results by schema instead of full row data.
Analyze large log files by summarizing and drilling into specific parts.
Skim is a Claude Code MCP server designed to handle large command outputs by extracting and returning only the schema or structure, while saving the full data for on-demand inspection. This reduces token usage, cost, and distraction for AI agents by preventing large data blobs from flooding the AI context window. It supports multiple data formats like JSON, CSV, YAML, XML/HTML, and text logs, providing summarized views and drill-down capabilities.