How do I query my indexed documents?

Simply ask the AI agent to search for a specific term or concept, and it will query the GroundX API to retrieve the most relevant textual chunks.

Can I manage data buckets from the agent?

Yes, you can list your active buckets, check their document count, and verify index status.

Does it support adding new files to a bucket?

Currently, the integration focuses on querying the optimized indexes. File ingestion should be managed through the GroundX dashboard or a separate pipeline.

INSTANT PLUG AND PLAY

GroundX MCP Server for Google ADKGive Google ADK instant access to 12 tools to Create Bucket, Create Group, Get Customer Info, and more

Name: GroundX
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add GroundX as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Use with Your AI Agent

Ask AI about this App Connector for Google ADK

Open in ChatGPT Open in Claude Open in Perplexity

The GroundX app connector for Google ADK is a standout in the Knowledge Management category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="groundx_agent",
    instruction=(
        "You help users interact with GroundX "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GroundX MCP Server

The GroundX MCP server enables your AI agent to search across enterprise data stores and manage RAG (Retrieval-Augmented Generation) pipelines, retrieving highly relevant document chunks seamlessly.

Google ADK natively supports GroundX as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The GroundX MCP Server exposes 12 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 GroundX tools available for Google ADK

When Google ADK connects to GroundX through Vinkius, your AI agent gets direct access to every tool listed below — spanning rag-as-a-service, data-search, document-retrieval, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_bucket

Create a new bucket

create_group

Create a new group

get_customer_info

Retrieve account and customer details

get_ingest_status

Check the processing status of an ingestion task

ingest_documents

Ingest documents into GroundX from URLs or local paths

ingest_website

Crawl and ingest content from a website URL

list_buckets

List all buckets (containers for documents)

list_content

List all ingested documents

list_groups

List all groups (aggregations of buckets)

list_workflows

List all RAG workflows

search_content

Perform semantic search across all content

search_documents

Search for specific documents based on metadata or content

Connect GroundX to Google ADK via MCP

Follow these steps to wire GroundX into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from GroundX via MCP

Why Use Google ADK with the GroundX MCP Server

Google ADK provides unique advantages when paired with GroundX through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with GroundX

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine GroundX tools with BigQuery, Vertex AI, and Cloud Functions

GroundX + Google ADK Use Cases

Practical scenarios where Google ADK combined with the GroundX MCP Server delivers measurable value.

Enterprise data agents: ADK agents query GroundX and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine GroundX tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query GroundX regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including GroundX

Example Prompts for GroundX in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with GroundX immediately.

"List all my GroundX data buckets."

"Search for 'refund policy' in bucket 102."

"Check the document count in bucket 101."

Troubleshooting GroundX MCP Server with Google ADK

Common issues when connecting GroundX to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

GroundX + Google ADK FAQ

Common questions about integrating GroundX MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.