URL Query String Deep Parser Connector for AI agents.

Q: Can it detect arrays in the query string?

Yes, any key ending with is automatically treated as an array. The getnestingcomplexity tool can specifically report if arrays are present in your string.

4 live capabilities

Turn messy URL parameters into structured JSON objects.

Live agent request URL Query String Deep Parser / Connector

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AI Agent

Why people use URL Query String Deep Parser

URL Query String Deep Parser solves messy API parameter parsing

With this MCP, your agent does the heavy lifting. It takes that same messy string and instantly presents it as a clean, nested JSON structure you can actually use.

What Vinkius changes

You stop writing regex and start working with clean, hierarchical data.

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

One account · 5,900+ Connectors

Real-world use case 01

Debugging complex API filters

An engineer provides a long, messy filter string and asks the agent to find the value of a specific nested property using lookup_deep_value.
Real-world use case 02

Validating URL schema

A QA tester uses get_nesting_complexity to ensure that a new API version hasn't introduced unexpected depth in query parameters.
Real-world use case 03

Transforming web logs

A data analyst takes raw, flattened URL strings from server logs and uses parse_query_string to turn them into structured JSON for processing.

Complete set · 4capabilities

The complete URL Query String Deep Parser capability set.

These are the exact actions your AI can choose when you ask it to work with URL Query String Deep Parser.

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through URL Query String Deep Parser.

01 Capability
Lookup deep value
Retrieves the value of a specific property located at any depth within the query string. It allows you to target nested keys directly.
02 Capability
Parse query string
Converts a raw query string into its fully structured, nested JSON representation. This is essential for seeing the full hierarchy of your data.
03 Capability
Flatten to pairs
Returns an array of decoded key-value strings for easy inspection. Use this to quickly scan all parameters in a simple list.
04 Capability
Get nesting complexity
Analyzes the structural depth and complexity of the parsed query string. This helps you understand how deep your data structures go.

Set up in minutes

One URL. Then ask URL Query String Deep Parser to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use URL Query String Deep Parser 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_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/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 URL Query String Deep Parser, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable URL Query String Deep Parser for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/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 URL Query String Deep Parser URL.
Step 03

Save and start

Save the connection and enable URL Query String Deep Parser in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "url-query-string-deep-parser": {
      "url": "https://edge.vinkius.com/vk_preview_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/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 URL Query String Deep Parser

Open Agent mode in chat and ask: "Using URL Query String Deep Parser, help me...". 4 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "url-query-string-deep-parser": {
      "url": "https://edge.vinkius.com/vk_preview_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/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 URL Query String Deep Parser

Ask Copilot: "Using URL Query String Deep Parser, help me...". 4 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "url-query-string-deep-parser": {
      "url": "https://edge.vinkius.com/vk_preview_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/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 URL Query String Deep Parser

Open Cascade and ask: "Using URL Query String Deep Parser, help me...". 4 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "url-query-string-deep-parser": {
      "url": "https://edge.vinkius.com/vk_preview_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/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 URL Query String Deep Parser

Ask Cline: "Using URL Query String Deep Parser, help me...". 4 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add url-query-string-deep-parser --transport http "https://edge.vinkius.com/vk_preview_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/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 URL Query String Deep Parser

Ask Claude: "Using URL Query String Deep Parser, show me...". 4 tools are ready

Where the request belongs

Work URL Query String Deep Parser can move forward.

Built around the request

Software engineers and API testers who deal with complex, multi-layered web requests and need their agents to understand nested parameters.

API Engineer

Validating that deeply nested request parameters are being parsed correctly by downstream services.

QA Automation Engineer

Writing scripts to verify that URL structures match expected schema definitions.

Data Engineer

Transforming unstructured web logs into usable JSON formats for analysis.

Build the capability set

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

Browse Connectors

01 3 capabilities New

JSON Schema Validator and Flattener

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

View Connector

02 3 capabilities New

PostgreSQL Connection String Parser

Deconstructs PostgreSQL URIs into precise connection parameters.

View Connector

03 3 capabilities

URL Structure Analyzer

Evaluate web URLs for SEO health, analyzing path depth, keyword relevance, and parameter noise.

View Connector

04 3 capabilities New

LLM Output JSON Extractor

Isolates valid JSON objects from mixed markdown/text LLM outputs using deterministic bracket-matching.

View Connector

05 3 capabilities

Deterministic URL Engine

Equip your AI with flawless URL deconstruction. Deterministically parse URIs, extract deep query strings, and inject tracking parameters without concatenation errors.

View Connector

06 1 capability

JSON Path Query Engine

Extract specific data from massive JSON payloads using JSONPath expressions.

View Connector

Bring your own AI

Change the model, client or framework. Keep URL Query String Deep Parser 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 URL Query String Deep Parser.

The practical details behind the request, access and result.

How can I use URL Query String Deep Parser to handle nested data?

It converts strings using dot notation into structured JSON objects that your agent can read easily.

Can the URL Query String Deep Parser work with array notation like tags[]?

Yes, it recognizes array brackets and builds actual JSON arrays in the output for you.

Does URL Query String Deep Parser help with debugging API calls?

Absolutely. It allows you to see exactly how your parameters are structured without manual inspection.

Is the URL Query String Deep Parser compatible with Claude or Cursor?

Yes, it works with any MCP-compatible client including Claude, Cursor, and Windsurf.

Can I use URL Query String Deep Parser to find a single value in a long string?

Yes, you can target specific paths to extract values without parsing the entire string manually.

How does the parser handle nested objects?

The parser uses dot notation to identify hierarchy. For example, a key like user.profile.id will result in a nested JSON structure: { "user": { "profile": { "id": "..." } } }.

Can it detect arrays in the query string?

Yes, any key ending with [] is automatically treated as an array. The get_nesting_complexity capability can specifically report if arrays are present in your string.

Does it support URI decoding?

Yes, all keys and values are processed through standard URI decoding to ensure characters like %20 are correctly converted back to spaces.

One connection away

Give your agent a direct line to URL Query String Deep Parser.

Connect URL Query String Deep Parser once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available

URL Query String Deep Parser solves messy API parameter parsing

You stop writing regex and start working with clean, hierarchical data.

Debugging complex API filters

Validating URL schema

Transforming web logs

Lookup deep value

Parse query string

Flatten to pairs

Get nesting complexity

Open Connectors

Add the URL

Turn it on in chat

Open MCP settings

Add the URL

Save and start

Open MCP Settings

Add the server config

Save the file

Start using URL Query String Deep Parser

Create MCP config

Add the server config

Enable Agent mode

Start using URL Query String Deep Parser

Open MCP Settings

Add the server

Save and reload

Start using URL Query String Deep Parser

Open Cline MCP Settings

Add remote server

Enable the server

Start using URL Query String Deep Parser

Install Claude Code

Add the Connector

Verify the connection

Start using URL Query String Deep Parser

API Engineer

QA Automation Engineer

Data Engineer

JSON Schema Validator and Flattener

PostgreSQL Connection String Parser

URL Structure Analyzer

LLM Output JSON Extractor

Deterministic URL Engine

JSON Path Query Engine

Give your agent a direct line to URL Query String Deep Parser.