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 4 days ago. It has 60 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.

60 6 tools GitHub PyPI

No known CVEs

No license

Actively maintained

Last commit 4d ago

Works with most clients

Transport: stdio, sse, http

6 tools · ~581 tok

Grade B · 0.3% of 200K ctx

Edit this pageView history

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:

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 4 days ago. It has 60 GitHub stars.

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MCP Security Weekly

Get CVE alerts and security updates for Jdatamunch Mcp and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

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

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

FREE FOR PERSONAL USE

Use it to make money, and Uncle J. gets a taste. Fair enough? details

Documentation

Doc	What it covers
QUICKSTART.md	Zero-to-indexed in three steps
USER-MANUAL.md	Full guide for analysts, ops, and non-developers

Cut spreadsheet token usage by 99.997%

Most AI agents explore tabular data the expensive way:

dump the whole file into the prompt → skim a million irrelevant rows → repeat.

That is not "a little inefficient." That is a token incinerator.

A 255 MB CSV file with 1 million rows costs 111 million tokens if you paste it raw. A single describe_dataset call answers the same orientation question in 3,849 tokens.

That is a 25,333× reduction — measured, not estimated, on a real 1M-row public dataset.

jDataMunch indexes the file once and lets agents retrieve only the exact data they need: column profiles, filtered rows, server-side aggregations, cross-dataset joins, and semantic search — with SQL precision.

Benchmark: LAPD crime records — 1,004,894 rows, 28 columns, 255 MB Baseline (raw file): 111,028,360 tokens | jDataMunch: ~3,849 tokens | 25,333× reduction Methodology & harness · Full results

Task	Traditional approach	With jDataMunch
Understand a dataset	Paste entire CSV	`describe_dataset` → column names, types, cardinality, samples
Find relevant columns	Read every row	`search_data` → column-level results with IDs
Answer a filtered question	Load millions of rows	`get_rows` with structured filters → only matching rows
Compute a group-by	Return all data	`aggregate` → server-side SQL, one result set
Compare two datasets	Load both entirely	`join_datasets` → SQL JOIN across indexed stores
Find column relationships	Export to spreadsheet	`get_correlations` → pairwise Pearson correlations

Index once. Query cheaply. Keep moving. Precision retrieval beats brute-force context.

jDataMunch MCP

Structured tabular data retrieval for AI agents

Commercial licenses

jDataMunch-MCP is free for non-commercial use.

Commercial use requires a paid license.

jDataMunch-only licenses

Builder — $39 — 1 developer

Studio — $149 — up to 5 developers

Platform — $799 — org-wide internal deployment

Want the full jMunch suite?

Munch Trio Builder Bundle — $99

Munch Trio Studio Bundle — $449

Munch Trio Platform Bundle — $2,499

Stop paying your model to read the whole damn spreadsheet.

jDataMunch turns tabular data exploration into structured retrieval.

Instead

... 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 4 days ago. It has 60 GitHub stars.