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Vinkius

dot-object Connector for AI agents.

1 live capability

Convert nested JSON structures into flat dot-notation for CSV exports and API payloads.

Live agent request dot-object / Connector

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AI Agent

Why people use dot-object

Dot Object Transformer JSON to CSV Data Mapping

This Connector handles the heavy lifting for you. It takes that complex JSON and flattens it into a clean dot-notation format instantly. You get a clean, organized dataset ready for your spreadsheet without the headache of manual mapping.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

That this Connector handles the data mapping between nested objects and flat keys automatically.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Exporting user profiles to a spreadsheet

    A user wants to export a nested user profile from a database to a CSV.

  2. Real-world use case 02

    Converting web forms to API payloads

    A developer needs to take a flat list of form fields and send them to a nested API.

  3. Real-world use case 03

    Cleaning up nested JSON logs

    An analyst has a nested JSON log and needs it in a spreadsheet.

Complete set · 1capability

The complete dot-object capability set.

These are the exact actions your AI can choose when you ask it to work with dot-object.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through dot-object.

  1. 01 Capability

    Transform dot object

    Convert nested JSON into dot-notation keys for CSV exports or rebuild nested structures from flat dictionaries for API payloads. Use this to maintain data integrity during migration.

Set up in minutes

One URL. Then ask dot-object to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use dot-object from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_cQpfrvU2E5evElufAC80w0Oscslf68HztIqZeU9J/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it dot-object, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable dot-object for the conversation.

Where the request belongs

Work dot-object can move forward.

Built around the request

Data engineers tired of manually mapping API fields to spreadsheets, or backend developers who need to convert flat form data into nested JSON payloads.

01

Data Engineer

Cleaning up messy API responses for warehouse ingestion on a Tuesday afternoon.

02

Backend Developer

Mapping frontend form data to complex nested database schemas for a new feature.

03

Data Analyst

Converting JSON logs into flat CSVs for Excel analysis to report to stakeholders.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Dot-Notation Object Flattener logo
01 3 capabilities

Dot-Notation Object Flattener

Convert deeply nested JSON objects into flat structures using dot-separated keys.

View Connector
JSON Schema Validator and Flattener logo
02 3 capabilities

JSON Schema Validator and Flattener

Strictly validate JSON against schemas and flatten nested structures using dot notation.

View Connector
JSON Diff Visualizer logo
03 1 capability

JSON Diff Visualizer

Generate human-readable visual diffs between two JSON objects. added lines in green, removed in red, unchanged in gray. Like 'git diff' but for JSON structures.

View Connector
YAML/JSON Converter logo
04 1 capability

YAML/JSON Converter

Prevent DevOps YAML hallucination. Convert complex YAML files to JSON for safe AI processing, and back to perfect YAML.

View Connector
URL Query String Deep Parser logo
05 4 capabilities

URL Query String Deep Parser

Transforms flat URL query strings into deeply nested JSON objects and arrays.

View Connector
Data Sorting & Filtering Engine logo
06 2 capabilities

Data Sorting & Filtering Engine

Perfect array manipulation. Sort and deduplicate massive JSON lists with native Vinkius Edge JavaScript instead of relying on token-limited LLMs.

View Connector

Bring your own AI

Change the model, client or framework. Keep dot-object connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
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  • Roo Code
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  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about dot-object.

The practical details behind the request, access and result.

Can Dot Object Transformer help me export API data to Excel?

Yes, it flattens nested JSON into dot-notation keys that work perfectly in CSVs and spreadsheets. This makes it easy to move data from an API into a readable format.

Does Dot Object Transformer keep null values?

Yes, it is designed to be lossless. It preserves nulls, arrays, and complex structures so your data remains complete during the conversion.

How do I use Dot Object Transformer for API payloads?

You can provide a flat dictionary of form fields, and it will reconstruct the nested JSON your API requires. This ensures your requests are formatted correctly every time.

Is Dot Object Transformer good for big JSON files?

It handles deeply nested structures deterministically, making it reliable for complex data sets. It follows consistent rules so you know exactly where every piece of data lands.

Can I use Dot Object Transformer to go both ways?

Yes, it is bidirectional. You can use it to flatten nested objects into flat keys or to unflatten flat dictionaries back into nested JSON structures.

Does it preserve arrays?

Yes, arrays are flattened with numeric indices (e.g. "items.0.name") and restored perfectly on unflatten.

One connection away

Give your agent a direct line to dot-object.

Connect dot-object once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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