JavaScript Data Processing Connector for AI agents.
2 live capabilities
Sort and deduplicate massive JSON lists with perfect data integrity.
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Why people use JavaScript Data Processing
Data Sorting & Filtering Engine for Reliable JSON List Processing
With this Connector, you just hand the raw JSON array to your agent. It sends the data to a dedicated JavaScript environment that handles the sorting and deduplication instantly. You get back a perfect list, saving you from the risk of missing a row or getting the order wrong.
What Vinkius changes
It swaps unpredictable LLM logic for rock-solid JavaScript execution.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Product Catalog Management
Sort 2,000 items by price or name to create a clean inventory list for a web store.
- Real-world use case 02
User Cleanup
Remove duplicate user IDs from a massive CSV-to-JSON export to prepare for a database import.
- Real-world use case 03
Event Logging
Order 1,000 historical events chronologically to generate a coherent timeline report.
Complete set · 2capabilities
The complete JavaScript Data Processing capability set.
These are the exact actions your AI can choose when you ask it to work with JavaScript Data Processing.
01—02
2 capabilities in this set.
Part of 2 available through JavaScript Data Processing.
- 01 Capability
Remove duplicates
Removes exact duplicates from a JSON array and returns a structured map of grouped entries.
- 02 Capability
Sort array
Sorts a JSON array by a specific key in ascending or descending order using deterministic logic.
Set up in minutes
One URL. Then ask JavaScript Data Processing to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use JavaScript Data Processing from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_f4hxpjeMV6aVZPRsB8l1XU8EiFxBCen3eRdrm3sq/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it JavaScript Data Processing, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable JavaScript Data Processing for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_f4hxpjeMV6aVZPRsB8l1XU8EiFxBCen3eRdrm3sq/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the JavaScript Data Processing URL.
- Step 03
Save and start
Save the connection and enable JavaScript Data Processing in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"data-sorting-filtering-engine": {
"url": "https://edge.vinkius.com/vk_preview_f4hxpjeMV6aVZPRsB8l1XU8EiFxBCen3eRdrm3sq/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using JavaScript Data Processing
Open Agent mode in chat and ask: "Using JavaScript Data Processing, help me...". 2 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"data-sorting-filtering-engine": {
"url": "https://edge.vinkius.com/vk_preview_f4hxpjeMV6aVZPRsB8l1XU8EiFxBCen3eRdrm3sq/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using JavaScript Data Processing
Ask Copilot: "Using JavaScript Data Processing, help me...". 2 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"data-sorting-filtering-engine": {
"url": "https://edge.vinkius.com/vk_preview_f4hxpjeMV6aVZPRsB8l1XU8EiFxBCen3eRdrm3sq/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using JavaScript Data Processing
Open Cascade and ask: "Using JavaScript Data Processing, help me...". 2 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"data-sorting-filtering-engine": {
"url": "https://edge.vinkius.com/vk_preview_f4hxpjeMV6aVZPRsB8l1XU8EiFxBCen3eRdrm3sq/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using JavaScript Data Processing
Ask Cline: "Using JavaScript Data Processing, help me...". 2 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add data-sorting-filtering-engine --transport http "https://edge.vinkius.com/vk_preview_f4hxpjeMV6aVZPRsB8l1XU8EiFxBCen3eRdrm3sq/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using JavaScript Data Processing
Ask Claude: "Using JavaScript Data Processing, show me...". 2 tools are ready
Where the request belongs
Work JavaScript Data Processing can move forward.
Data engineers who are tired of hallucinated lists and developers who need to process large JSON payloads without crashing their context window.
Data Engineer
Cleaning up messy exports from databases where duplicates are common and order matters.
Backend Developer
Validating and ordering large arrays of objects before sending them to a frontend.
Data Analyst
Organizing massive lists of user feedback or feature requests into sorted, usable categories.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsDeterministic Array Operations
Equip your AI with high-performance array manipulation. Deterministically chunk large datasets, deep-deduplicate objects, and intersect arrays 100% local.
Dot-Notation Object Flattener
Convert deeply nested JSON objects into flat structures using dot-separated keys.
Object Hash Engine
Generate deterministic SHA-256 fingerprints of any JSON object. Keys are automatically sorted so {b:2,a:1} and {a:1,b:2} always produce the exact same hash. Essential for deduplication.
Dot Object Transformer
Flatten deeply nested JSON objects into dot-notation keys, or reconstruct nested objects from flat dictionaries.
Fuzzy Match Search
Perform lightning-fast fuzzy string matching across large datasets. Find the closest matches instantly using Levenshtein distance.
JSON Path Query Engine
Extract specific data from massive JSON payloads using JSONPath expressions.
Bring your own AI
Change the model, client or framework. Keep JavaScript Data Processing connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about JavaScript Data Processing.
The practical details behind the request, access and result.
Can the Data Sorting & Filtering Engine handle lists larger than 1,000 items?
Yes, it's specifically built for large datasets. It moves the work to a JavaScript engine so you don't hit the limits of your AI client's memory.
Will the Data Sorting & Filtering Engine delete any of my data?
No, it preserves every single item in your array. It only changes the order or removes exact duplicates based on your instructions.
How does the Data Sorting & Filtering Engine handle numerical sorting?
It handles numbers correctly. It won't treat '10' as smaller than '2' like a text sort would, because it uses native JavaScript logic.
Can I use the Data Sorting & Filtering Engine to clean up messy JSON?
Yes, it's perfect for that. You can pass a messy JSON array and use it to deduplicate entries and organize them into a clean, sorted list.
Is the Data Sorting & Filtering Engine faster than asking the AI to sort?
For large lists, it's much faster and more reliable. It avoids the 'thinking' time the AI takes to process every individual item in a long list.
Does the Data Sorting & Filtering Engine work with any JSON format?
It works with any valid JSON array. As long as your data is structured as a list of objects or values, the engine can sort and deduplicate it.
Why use this?
It prevents data loss that happens during LLM regeneration.
Can it sort nested JSON arrays?
Yes, you can pass sorting keys for complex object arrays.
Is there a limit to the array size?
Only constrained by edge worker memory, easily handles tens of thousands of items.
One connection away
Give your agent a direct line to JavaScript Data Processing.
Connect JavaScript Data Processing once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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