Is Jdatamunch Mcp safe to use?

Jdatamunch Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install Jdatamunch Mcp?

Jdatamunch Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can Jdatamunch Mcp do?

Jdatamunch Mcp provides 6 tools: describe_dataset, search_data, get_rows, aggregate, join_datasets and 1 more. See the full tools list on the server page for descriptions and parameters.

What AI clients work with Jdatamunch Mcp?

Jdatamunch Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Jdatamunch Mcp actively maintained?

Jdatamunch Mcp is actively maintained — last commit was 2 days ago. It has 81 GitHub stars.

Jdatamunch MCP

Name: Jdatamunch MCP
Author: jgravelle

jdatamunch-mcp · by jgravelle

Token-efficient MCP server for tabular data retrieval. Index CSV/Excel files, query rows, aggregate — 99%+ token savings vs raw file reads.

81 6 tools GitHub PyPI

No known CVEs

No license

Actively maintained

Last commit 2d ago

Works with most clients

Transport: stdio, sse, http

6 tools · ~581 tok

Grade B · 0.3% of 200K ctx

MCPpedia last refreshed this data 1d ago

Edit this pageView history

Jdatamunch MCP is an MCP server that token-efficient MCP server for tabular data retrieval. Index CSV/Excel files, query rows, aggregate — 99%+ token savings vs raw file reads. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 84/100 on MCPpedia's security, maintenance and efficiency rubric.

Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "jdatamunch": {
      "args": [
        "jdatamunch-mcp"
      ],
      "command": "uvx"
    }
  }
}

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Add this badge to your README to show your security score and help users find safe servers.

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[![MCPpedia Score](https://mcppedia.org/api/badge/jdatamunch-mcp)](https://mcppedia.org/s/jdatamunch-mcp)

Read me

What Jdatamunch Mcp does

Quickstart - https://github.com/jgravelle/jdatamunch-mcp/blob/main/QUICKSTART.md

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'jdatamunch-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

84/100across 5 weighted dimensions

How we score →

0255075100

−16

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked jdatamunch-mcp against OSV.dev.

Inventory

Tools (6)

Click any tool to inspect its schema.

~581 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Jdatamunch Mcp safe to use?: Jdatamunch Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Jdatamunch Mcp?: Jdatamunch Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Jdatamunch Mcp do?: Jdatamunch Mcp provides 6 tools: describe_dataset, search_data, get_rows, aggregate, join_datasets and 1 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Jdatamunch Mcp?: Jdatamunch Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Jdatamunch Mcp actively maintained?: Jdatamunch Mcp is actively maintained — last commit was 2 days ago. It has 81 GitHub stars.

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Discussion

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Data

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "jdatamunch": {
      "args": [
        "jdatamunch-mcp"
      ],
      "command": "uvx"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/jdatamunch-mcp)](https://mcppedia.org/s/jdatamunch-mcp)

Read me

What Jdatamunch Mcp does

Quickstart - https://github.com/jgravelle/jdatamunch-mcp/blob/main/QUICKSTART.md

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

uvx 'jdatamunch-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

jDataMunch MCP: Tabular Data Retrieval for AI Agents

jDataMunch is an MCP server for coding agents and analysts that answers questions about CSV, Excel, Parquet, and JSONL files without pasting the rows into the context window.

Index a dataset once, then retrieve column profiles, filtered rows, server-side aggregations, and cross-dataset joins — so a million-row file costs thousands of tokens instead of millions.

Install · Quickstart · Benchmarks · Commercial licensing

Free for personal use. Commercial use requires a paid license — terms below.

Why jDataMunch?

The problem. The default way an agent explores a spreadsheet is to paste it into the prompt. A 255 MB CSV with a million rows costs roughly 111 million tokens that way, and the model still has to reason through a million rows to answer "what columns are in here?"

The mechanism. jDataMunch profiles the file once — columns, types, cardinality, null rates, distributions — and stores that locally. Queries then run against the data, not against a copy of it in the prompt: filters, aggregations, and joins execute server-side and return only results.

The outcome. Orientation questions are answered from the profile. Row-level questions return matching rows. The raw file never enters the context window.

Evidence

Measured on a real public dataset, not estimated. Full harness and per-query results in benchmarks/.

Corpus: LAPD crime records — 1,004,894 rows, 28 columns, 255 MB Baseline: 111,028,360 tokens to paste the raw file describe_dataset: ~3,849 tokens — a 25,333× reduction Methodology & harness · Full results

Task	Without jDataMunch	With jDataMunch	Reduction
Understand a dataset's shape	Paste 111M tokens	`describe_dataset` → ~3,849 tokens	~25,000×
Schema + one column deep-dive	Paste 111M tokens	`describe_dataset` + `describe_column` → ~4,400 tokens	~25,000×
Filter to matching rows	Load all 1M rows	`get_rows` with filters → matching rows only	~99%+
Count by category	Return all rows, aggregate in the model	`aggregate(group_by=[...])` → 21 rows	~99.9%

What these numbers are and are not. The reduction is measured against pasting the complete file, which is what a naive agent does and what the token bill reflects. It is not measured against a competent human analyst who would never paste a 255 MB CSV. The multiple scales with file size: a 200-row spreadsheet has far less to save, and the honest figure there is closer to "no meaningful difference."

Typical latencies from the same run: describe_column on a single column, 22–33 ms and ~600 tokens.

Install

Requirements: Python 3.10+, any MCP-compatible client.

There is no install step. jdatamunch-mcp is a stdio MCP server with no CLI subcommands, so nothing needs to land on your PATH — point your client at uvx and it fetches and runs the server on demand.

Claude Code setup:

claude mcp add jdatamunch -- uvx jdatamunch-mcp

Nothing else. Don't have uv yet?

Reading Excel or Parquet? Those pull optional extras, which uvx takes on the --from

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

84/100across 5 weighted dimensions

How we score →

0255075100

−16

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked jdatamunch-mcp against OSV.dev.

Inventory

Tools (6)

Click any tool to inspect its schema.

~581 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Jdatamunch Mcp safe to use?: Jdatamunch Mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install Jdatamunch Mcp?: Jdatamunch Mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can Jdatamunch Mcp do?: Jdatamunch Mcp provides 6 tools: describe_dataset, search_data, get_rows, aggregate, join_datasets and 1 more. See the full tools list on the server page for descriptions and parameters.
What AI clients work with Jdatamunch Mcp?: Jdatamunch Mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Jdatamunch Mcp actively maintained?: Jdatamunch Mcp is actively maintained — last commit was 2 days ago. It has 81 GitHub stars.