How do I find my Cluster Endpoint?

You can find your Cluster Endpoint in the Zilliz Cloud Console under the 'Cluster Details' page. It typically looks like `https://in01-xxxxxxxxxxxx.vectordb.zillizcloud.com`.

Why do I need to 'load' a collection before searching?

Zilliz requires collections to be loaded into memory to perform high-performance similarity searches. Use the `load_collection` tool to make your data available for search.

Can I filter my vector search using metadata?

Yes, Zilliz supports hybrid search. You can use the `query_entities` tool for metadata-only filtering or include filtering expressions in your `search_vectors` JSON configuration.

Zilliz Cloud MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Zilliz Cloud
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="zilliz_cloud_agent",
    instruction=(
        "You help users interact with Zilliz Cloud "
        "using 10 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 Zilliz Cloud MCP Server

Connect your Zilliz Cloud cluster to any AI agent to automate your vector database operations. This MCP server enables your agent to manage collections, insert data, and perform high-performance similarity searches directly from natural language.

Google ADK natively supports Zilliz Cloud as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Collection Management — List, describe, create, and drop vector collections in your cluster
Memory Control — Load and release collections to optimize cluster resource usage and search availability
Vector Search — Execute complex vector similarity searches (ANN) using customizable metrics and parameters
Metadata Querying — Query entities using boolean expressions and metadata filters to find specific records
Data Maintenance — Insert new vector/scalar data and delete entities from your collections

The Zilliz Cloud MCP Server exposes 10 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.

How to Connect Zilliz Cloud to Google ADK via MCP

Follow these steps to integrate the Zilliz Cloud MCP Server with Google ADK.

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 10 tools from Zilliz Cloud via MCP

Why Use Google ADK with the Zilliz Cloud MCP Server

Google ADK provides unique advantages when paired with Zilliz Cloud 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 Zilliz Cloud

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 Zilliz Cloud tools with BigQuery, Vertex AI, and Cloud Functions

Zilliz Cloud + Google ADK Use Cases

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

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

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

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

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

Zilliz Cloud MCP Tools for Google ADK (10)

These 10 tools become available when you connect Zilliz Cloud to Google ADK via MCP:

create_collection

Requires a JSON body. Create a new vector collection

delete_entities

Delete entities from a collection

describe_collection

Get details for a specific collection

drop_collection

Drop a collection

insert_entities

Insert data into a collection

list_collections

List all collections in the Zilliz cluster

load_collection

Load a collection into memory

query_entities

Query entities using metadata filtering

release_collection

Release a collection from memory

search_vectors

Requires a JSON search configuration. Perform a vector similarity search

Example Prompts for Zilliz Cloud in Google ADK

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

"List all vector collections in my Zilliz cluster."

"Show the schema and status for collection 'text_docs'."

"Drop the collection named 'old_data_backup'."

Troubleshooting Zilliz Cloud MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Zilliz Cloud + Google ADK FAQ

Common questions about integrating Zilliz Cloud 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.