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Connect URL Query String Deep Parser to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Convert flat URL parameters into structured JSON data.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through URL Query String Deep Parser.

  1. 01

    Get nesting complexity

    Analyzes how deep the query string goes. It tells your agent the structural depth and if arrays are present.

  2. 02

    Lookup deep value

    Finds a specific value at any level of the hierarchy. You provide a path like user.profile.id to get the exact data you need.

  3. 03

    Parse query string

    Converts a raw query string into a fully structured JSON object. It also returns the total count and the number of nested keys.

  4. 04

    Flatten to pairs

    Turns the parsed data back into a simple list. It returns an array of key-value strings for easy inspection.

Real work

What teams actually run

01

API Debugging

Your agent parses long API request URLs to verify that nested parameters are correctly formatted.

02

Log Analysis

Convert raw web server logs containing query strings into structured JSON for easier processing.

03

Filter Testing

Use the MCP to check if complex, multi-level URL filters are being interpreted correctly by your application.

04

Data Extraction

Quickly grab specific values from deeply nested URL parameters without writing custom parsing logic.

One connector, every AI

URL Query String Deep Parser works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put URL Query String Deep Parser to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

701ms average. Fast in production.

URL Query String Deep Parser is checked daily against the live service.

Daily averagePeak 873ms
Oct 3Today
Fastest day
571ms
Slowest day
873ms
14-day trend
Slowing+5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of URL Query String Deep Parser, so you can see the experience inside your AI.

It does not authenticate your account with URL Query String Deep Parser. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

URL Query String Deep Parser Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — URL Query String Deep Parser capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "url-query-string-deep-parser-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5el00QTzDgkf75kGeUujZ3vTvwK3mtZTVe1CZqbB/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up URL Query String Deep Parser in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work URL Query String Deep Parser owners hand off.

This MCP is for developers and data engineers who need to feed structured web data to AI agents.

  • 01

    Backend Developers

    Hand off complex API query strings to an agent for debugging or testing.

  • 02

    Data Engineers

    Use it to transform raw URL logs into structured formats for analysis.

  • 03

    QA Engineers

    Let an agent parse and validate complex URL parameters during automated testing.

FAQ

Questions URL Query String Deep Parser owners ask.

  • 01

    How does this MCP handle nested parameters?

    It uses dot notation, such as user.name, to create nested JSON objects from flat strings.

  • 02

    Can it handle arrays in a URL?

    Yes, it recognizes array notation like tags[] and converts them into JSON arrays.

  • 03

    What clients can use this MCP?

    Any MCP-compatible client like Claude, Cursor, Windsurf, or VS Code can use it.

  • 04

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you. You just connect and use it.

  • 05

    How do I get a value from a deep path?

    Use the lookup_deep_value capability and provide the specific path you want to retrieve.

  • 06

    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": "..." } } }.

  • 07

    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.

  • 08

    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.

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