How to Use the XML JSON Converter MCP in Google ADK

Scale XML and JSON Conversions in Enterprise Workflows with Google ADK.

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Connect XML JSON Converter MCP to Google ADK

Create your Vinkius account to connect XML JSON Converter to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup XML JSON Converter with Google ADK

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MCP Server: Process massive data volumes for the Google ADK

Need to get structured data out of a multi-megabyte XML feed? Use `convert_xml_to_json`. This tool reliably parses complex, nested structures into clean JSON objects. It handles attributes and CDATA sections at scale, which is perfect for feeding BigQuery tables. Don't worry about the size; the server converts massive documents without needing to break them up or risking data corruption along the way.

Send structured output back using Google ADK

If your agent needs to generate a result that must be consumed by an old system, use `convert_json_to_xml`. Pass it a clean JSON object and get well-formed XML. This tool makes sure the resulting markup is valid for immediate consumption. It's one of the most reliable ways to bridge modern agent outputs with legacy enterprise infrastructure.

Ensure data consistency across Google ADK agents

The server's core function—converting between JSON and XML—guarantees deterministic parsing. This means that whether you run the conversion once or a million times, the output for a given input remains identical. You get predictable data results every time. This consistency is what allows your enterprise agents to trust the data they are working with across different stages of the pipeline.

Setup guide

Set up XML JSON Converter MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with XML JSON Converter tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="XML  JSON Converter_agent",
    model="gemini-2.0-flash",
    instruction="You have access to XML  JSON Converter tools via MCP.",
    tools=mcp_tools,
)

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Common questions about XML JSON Converter MCP in Google ADK

You pass the server's toolset directly to your LlmAgent. The agent recognizes `convert_xml_to_json` and `convert_json_to_xml` as available functions, allowing you to use them mid-chain for data transformation.

Yes. The server is optimized to parse large documents deterministically. It's designed to keep your agent running smoothly, even when dealing with extensive data sets from external sources.

It handles both raw XML strings and fully formed JSON object strings. It's a universal tool for structured text conversion, ideal for integration with BigQuery.

Yes. The server explicitly avoids LLM hallucinations by performing deterministic, rule-based parsing of the source formats. You get predictable, accurate conversion every time.

This MCP Server touches structured text data, specifically raw XML strings and formatted JSON object strings. The process is purely structural conversion for enterprise pipelines.

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