MCP server

Data Transform

io.github.lazymac2x/data-transform

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Cloudflare Workers MCP server: data-transform

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

10

Token cost

About 882 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.data-transform]
url = "https://api.lazy-mac.com/data-transform/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

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

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"data-transform","server_url":"https://api.lazy-mac.com/data-transform/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"data-transform","server_url":"https://api.lazy-mac.com/data-transform/mcp"}

Tools

• csv_to_json ~82 tokens
  Parse CSV text into a JSON array of objects.
• filter ~112 tokens
  Filter a JSON array by a query object. Supports >, <, ! prefixes for comparisons.
• flatten ~64 tokens
  Flatten a nested JSON object into dot-notation keys.
• json_to_csv ~102 tokens
  Convert a JSON array of objects to CSV text. Optionally specify a delimiter.
• json_to_xml ~82 tokens
  Convert a JSON object or array to XML string.
• pick ~96 tokens
  Pick specific fields from each object in a JSON array.
• sort ~110 tokens
  Sort a JSON array by a field.
• stats ~99 tokens
  Compute statistics (count, sum, mean, min, max, median) for a numeric field.
• unflatten ~71 tokens
  Unflatten a dot-notation JSON object back into nested structure.
• validate ~64 tokens
  Validate a JSON string and return type, size, or error.

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