Data Converter

Convert data between over 40 formats including JSON, CSV, Excel, and PDF.

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What it can do

  • Transform: Convert data from one format to another. Supports 43+ conversion pairs across JSON, CSV, XML, YAML, TOML, HTML, Markdown, plain text, PDF, Excel, and DOCX. For binary input formats (pdf, ex
  • Reshape Json: Restructure JSON data from one schema to another using dot-notation path mapping. Maps fields from the source to new positions in the target. Handles both single objects and arrays of ob
  • List Capabilities: List all supported format conversion pairs with pricing and average response times. Call this first to discover which source→target format combinations are available before attempti

What data it sees

Do you need an account

No: the server works without sign-in

Convert data between over 40 formats including JSON, CSV, Excel, and PDF. Restructure complex schemas into custom layouts to ensure seamless data integration. Simplify information processing by automating transformations between structured and unstructured file types.

How to connect

How to connect Data Converter to Claude

The server address to paste into Claude settings:

https://data-transform--data-transform-agent.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Data Converter to ChatGPT

The server address to paste into ChatGPT settings:

https://data-transform--data-transform-agent.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Data Converter to Cursor

The server address to paste into Cursor settings:

https://data-transform--data-transform-agent.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (3)

Raw names from tools/list. Only developers need these.

transformConvert data from one format to another. Supports 43+ conversion pairs across JSON, CSV, XML, YAML, TOML, HTML, Markdown, plain text, PDF, Excel, and DOCX. For binary input formats (pdf, excel, docx), send data as a base64-encoded string. Returns the transformed data as a string (or base64 for binary output formats like excel).
reshape_jsonRestructure JSON data from one schema to another using dot-notation path mapping. Maps fields from the source to new positions in the target. Handles both single objects and arrays of objects. Example: mapping={'full_name': 'user.profile.name', 'email': 'user.contact.email'} extracts nested values into a flat structure.
list_capabilitiesList all supported format conversion pairs with pricing and average response times. Call this first to discover which source→target format combinations are available before attempting a transform.