Data Transform

Name: Data Transform
Author: lazymac2x

by lazymac2xversion 1.0.0i★ 0iRuns in the cloud

Registry nameio.github.lazymac2x/data-transform

Install

Overview

Description from the maker (original English)

Cloudflare Workers MCP server: data-transform

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 4 passedChecked from public information; code not scanned yet
UsageiVery new★ 0

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 4 passed
Runs on the maker’s server: what you ask it goes through their server.
Can do 10 things (tools) json_to_csv, csv_to_json, json_to_xml, flatten …
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://api.lazy-mac.com/data-transform/mcp

Run this in your terminal

claude mcp add --transport http data-transform https://api.lazy-mac.com/data-transform/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "data-transform": {
      "url": "https://api.lazy-mac.com/data-transform/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "data-transform": {
      "type": "http",
      "url": "https://api.lazy-mac.com/data-transform/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://api.lazy-mac.com/data-transform/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Connect over the internet in

Claude ChatGPT Goose LM Studio Msty Studio Cherry Studio Cursor VS Code + GitHub Copilot Visual Studio Windsurf (Devin Desktop)Zed Kiro Cline Continue JetBrains AI Assistant Claude Code Codex CLI Gemini CLI OpenCode nodecode Warp LibreChat Open WebUI Raycast

All apps, with pros and cons →

What it can do

Tool names and descriptions exactly as the server reported them on Nov 11, 2026. The maker wrote them, not us; we show them as plain text.

json_to_csv
Convert a JSON array of objects to CSV text. Optionally specify a delimiter.
csv_to_json
Parse CSV text into a JSON array of objects.
json_to_xml
Convert a JSON object or array to XML string.
flatten
Flatten a nested JSON object into dot-notation keys.
unflatten
Unflatten a dot-notation JSON object back into nested structure.
filter
Filter a JSON array by a query object. Supports >, <, ! prefixes for comparisons.
pick
Pick specific fields from each object in a JSON array.
sort
Sort a JSON array by a field.
stats
Compute statistics (count, sum, mean, min, max, median) for a numeric field.
validate
Validate a JSON string and return type, size, or error.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account lazymac2x, which owns the repo
! Caution
Still maintained
Code last changed 7 months ago, more than 6 months ago
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 50 ms (HTTP 200)
– Not applicable
Sign-in with OAuth
No sign-in needed
✓ Pass
No hidden instructions in tool descriptions
Read 10 tool descriptions and found no hidden instructions to the AI

Compared with others in Developer toolsi

More stars than 0% of the other 5736 servers in this category
Published to the registry more recently than 13% of the other 5736 servers in this category
Basic checks equal to or better than 29% of the other 5736 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Data Transform safe?

It passed 3 of 4 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed 7 months ago, and the latest version (1.0.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: REA, Netdata, Front-End Checklist

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

REA

Reverse engineer anything from your terminal or agent with one CLI and MCP server.

by morlutoWidely used↓ 388.7K/wk★ 448.2KUpdated 16 days ago

Runs on your computer

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Netdata

Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.

by netdataWidely used★ 81.3KUpdated 6 days ago

Runs in the cloud

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Front-End Checklist

Review frontend code and live pages against 386 quality-gated web development rules.

by thedaviddiasWidely used★ 74.7KUpdated 37 days ago

Runs in the cloud

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

data-transform-api

⭐ Building in public from $0 MRR. Star if you want to follow the journey — lazymac-mcp (42 tools, one MCP install) · lazymac-k-mcp (Korean wedge) · lazymac-sdk (TS client) · api.lazy-mac.com · Pro $29/mo.

🚀 Want all 42 lazymac tools through ONE MCP install? npx -y @lazymac/mcp · Pro $29/mo for unlimited calls.

Data transformation API — convert between JSON, CSV, XML. Flatten, filter, sort, pick fields, compute stats, and validate data. Zero dependencies beyond Express.

Quick Start

npm install && npm start  # http://localhost:3600

Endpoints

Convert

# JSON → CSV

curl -X POST http://localhost:3600/api/v1/json-to-csv \ -H "Content-Type: application/json" \ -d '{"data": [{"name":"Alice","age":30},{"name":"Bob","age":25}]}'

CSV → JSON

curl -X POST http://localhost:3600/api/v1/csv-to-json \ -H "Content-Type: application/json" \ -d '{"csv": "name,age\nAlice,30\nBob,25"}'

JSON → XML

curl -X POST http://localhost:3600/api/v1/json-to-xml \ -H "Content-Type: application/json" \ -d '{"data": {"user": {"name": "Alice", "age": 30}}, "rootName": "response"}'

Transform

# Flatten nested JSON

curl -X POST http://localhost:3600/api/v1/flatten \ -H "Content-Type: application/json" \ -d '{"data": {"user": {"name": "Alice", "address": {"city": "Seoul"}}}}'

→ {"user.name": "Alice", "user.address.city": "Seoul"}

Unflatten

curl -X POST http://localhost:3600/api/v1/unflatten \ -H "Content-Type: application/json" \ -d '{"data": {"user.name": "Alice", "user.age": 30}}'

Filter (supports >, <, !)

curl -X POST http://localhost:3600/api/v1/filter \ -H "Content-Type: application/json" \ -d '{"data": [{"name":"Alice","age":30},{"name":"Bob","age":25}], "query": {"age": ">26"}}'

Pick specific fields

curl -X POST http://localhost:3600/api/v1/pick \ -H "Content-Type: application/json" \ -d '{"data": [{"name":"Alice","age":30,"email":"a@b.c"}], "fields": ["name","age"]}'

Sort

curl -X POST http://localhost:3600/api/v1/sort \ -H "Content-Type: application/json" \ -d '{"data": [{"name":"Bob","age":25},{"name":"Alice","age":30}], "field": "name"}'

Stats

curl -X POST http://localhost:3600/api/v1/stats \ -H "Content-Type: application/json" \ -d '{"data": [{"score":85},{"score":92},{"score":78}], "field": "score"}'

→ {"count":3, "sum":255, "mean":85, "min":78, "max":92, "median":85}

Validate JSON

curl -X POST http://localhost:3600/api/v1/validate \ -H "Content-Type: application/json" \ -d '{"data": {"valid": true}}'

License

MIT

💡 Host your own stack? Get $200 DigitalOcean credit via lazymac referral link.

Data Transform

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Which apps can use it

Related guides

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

REA

Netdata

Front-End Checklist

README from the maker

data-transform-api

Quick Start

Endpoints

Convert

CSV → JSON

JSON → XML

Transform

→ {"user.name": "Alice", "user.address.city": "Seoul"}

Unflatten

Filter (supports >, <, !)

Pick specific fields

Sort

Stats

→ {"count":3, "sum":255, "mean":85, "min":78, "max":92, "median":85}

Validate JSON

License