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GROUP BY and pivot tables for JSON rows: 11 functions, date buckets, top N, totals, messy numbers.
Dataset Aggregate & Pivot is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 73/100. 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 Dataset Aggregate & Pivot to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
mcp add io.github.Nero-Engine/dataset-aggregate-pivot https://dataset-aggregate-pivot.nerolabs.workers.dev/mcpReview the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-09-13T00:07:44.261763Z",
"publishedAt": "2026-09-13T00:07:44.261763Z",
"statusChangedAt": "2026-09-13T00:07:44.261763Z"
}
},
"server": {
"name": "io.github.Nero-Engine/dataset-aggregate-pivot",
"title": "Dataset Aggregate & Pivot",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://dataset-aggregate-pivot.nerolabs.workers.dev/mcp",
"type": "streamable-http"
}
],
"version": "0.1.0",
"repository": {
"url": "https://github.com/Nero-Engine/dataset-aggregate-pivot-mcp",
"source": "github"
},
"websiteUrl": "https://github.com/Nero-Engine/dataset-aggregate-pivot-mcp",
"description": "GROUP BY and pivot tables for JSON rows: 11 functions, date buckets, top N, totals, messy numbers."
}
}