# jdatamunch-mcp

> jdatamunch-mcp — jgravelle-jdatamunch-mcp. Use this tool when you need to efficiently retrieve and analyze large tabular datasets, reducing token usage through server-side aggregations and joins. It indexes local CSV, Excel, Parquet, and JSONL files, providing column profiles, filtered rows, and aggregated results. Ideal for use cases involving big data querying and analysis, where minimizing token usage is crucial.

Canonical page: https://skillsregistry.net/skills/jgravelle-jdatamunch-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jgravelle-jdatamunch-mcp

## Description

MCP server for tabular data retrieval that indexes local CSV, Excel, Parquet, and JSONL files once and answers questions via column profiles, filtered rows, server-side aggregations, and joins, drastically reducing token usage for large datasets.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r4c9hwja28)
- **Repository:** <https://github.com/jgravelle/jdatamunch-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jgravelle-jdatamunch-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jgravelle-jdatamunch-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jgravelle-jdatamunch-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt