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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use LLM XML Tag Parser with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Extract and validate content within XML-style tags from LLM outputs.

Included with plan

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

Complete set · 3 capabilities

The complete LLM XML Tag Parser capability set.

These are the exact actions your AI can choose when you ask it to work with LLM XML Tag Parser.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through LLM XML Tag Parser.

  1. 01

    Extract all tags

    Extract all top-level occurrences of a specific XML tag

  2. 02

    Extract single tag

    Extract the first occurrence of a specific XML tag

  3. 03

    Validate tag integrity

    Validate the integrity of XML tag nesting

Observed, not estimated

634ms average. Fast in production.

LLM XML Tag Parser is checked daily against the live service.

Daily averagePeak 793ms
Aug 20Today
Fastest day
501ms
Slowest day
793ms
14-day trend
Slowing+11%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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 LLM XML Tag Parser, so you can see the experience inside your AI.

It does not authenticate your account with LLM XML Tag Parser. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

LLM XML Tag Parser Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_w58Iyf6iS1Dvk9wxnoCriPGJu7Dnb9x0GKyijsMS/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 — LLM XML Tag Parser capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "llm-xml-tag-parser-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_w58Iyf6iS1Dvk9wxnoCriPGJu7Dnb9x0GKyijsMS/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

FAQ

Questions LLM XML Tag Parser owners ask.

  • 01

    How does the parser handle nested tags?

    The parser uses an integer depth counter. When it encounters an opening tag, it increments the counter; when it finds a closing tag, it decrements it. This ensures that extract_all_tags correctly identifies fully closed pairs even in complex structures.

  • 02

    Can I use this to validate if my prompt output is well-formed?

    Yes, by using the validate_tag_integrity capability, you can check if every opening tag has a corresponding closing tag and verify that the nesting depth is balanced.

  • 03

    What happens if a tag is not found?

    If you use extract_single_tag and the target tag does not exist in the input string, the capability will return null for the extracted content.

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