How to Use the Data Sorting & Filtering Engine MCP in Google ADK

Q: How do I connect the Data Sorting & Filtering Engine MCP Server to Google ADK?

Install google-adk and create a McpToolset using StreamableHttpServerParameters. Pass that toolset into your LlmAgent initialization.

Q: Can I limit which tools the Data Sorting & Filtering Engine exposes in Google ADK?

Yes. You can apply a toolnames filter when configuring the McpToolset. This lets you expose sortarray while hiding the deduplication tool if needed.

Clean your BigQuery outputs before feeding them to Gemini using the Data Sorting & Filtering Engine MCP Server for Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Data Sorting & Filtering Engine MCP to Google ADK

Create your Vinkius account to connect Data Sorting & Filtering Engine 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.

GDPR Free for Subscribers

Setup Data Sorting & Filtering Engine with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Clean arrays for Google ADK pipelines

Gemini handles millions of tokens, but making it sort massive lists is a waste of compute. You want the model analyzing data, not rearranging it. The `sort_array` tool orders your JSON strings deterministically before the prompt even starts. Just send the array, your target key, and the direction. The Vinkius Edge JavaScript runtime processes the logic instantly. Your enterprise agent gets back perfectly ordered data ready for Vertex AI workflows.

Strip duplicate records instantly

Pulling raw rows from BigQuery often yields redundant entries. Asking an LLM to deduplicate them introduces errors. Using the `remove_duplicates` tool fixes this by stripping exact matches based on your chosen key. The engine returns a structured map of grouped entries. Your Gemini agent receives clean inputs for long-context reasoning tasks. You avoid poisoning the context window with repetitive garbage.

Native MCP Server integration

Setting up this utility takes two minutes. You instantiate a `McpToolset` with your Vinkius endpoint and pass it directly to your `LlmAgent`. Both Stdio and HTTP transports work out of the box. If you only want the sorting function, use the `tool_names` filter to restrict exposure. Your Google Cloud infrastructure stays focused on heavy AI tasks while this endpoint handles the array math.

Setup guide

Set up Data Sorting & Filtering Engine 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 Data Sorting & Filtering Engine 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="Data Sorting & Filtering Engine_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Data Sorting & Filtering Engine tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JavaScript Data Processing. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Data Sorting & Filtering Engine now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Data Sorting & Filtering Engine MCP in Google ADK

Install `google-adk` and create a `McpToolset` using `StreamableHttpServerParameters`. Pass that toolset into your `LlmAgent` initialization.

Sometimes you generate dynamic JSON arrays mid-workflow that never hit a database. This server sorts and deduplicates those lists on the fly without writing queries.

You provide the target array and a grouping key. It hands back a structured map of unique entries.

Yes. You can apply a `tool_names` filter when configuring the `McpToolset`. This lets you expose `sort_array` while hiding the deduplication tool if needed.

The endpoint operates on a zero-trust, ephemeral architecture. Your JSON arrays enter a V8 Isolate Sandbox, get processed, and vanish immediately after the response.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript