2,500+ MCP servers ready to use
Vinkius

Zenkit MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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

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="zenkit_agent",
    instruction=(
        "You help users interact with Zenkit "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Zenkit
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 Zenkit MCP Server

Connect your Zenkit account to any AI agent to streamline your productivity and project management. This MCP server enables your agent to interact with workspaces, lists (collections), and data entries directly from natural language.

Google ADK natively supports Zenkit as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 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

  • Workspace Oversight — List all workspaces and retrieve their constituent lists and metadata
  • List Management — Query detailed configurations and field elements for any Zenkit list
  • Data Operations — List, retrieve, create, and update entries (items) within your collections
  • Field Discovery — Inspect list elements to understand the data structure and field types
  • Content Cleanup — Delete entries and maintain your lists directly via natural language commands

The Zenkit MCP Server exposes 8 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 Zenkit to Google ADK via MCP

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

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 8 tools from Zenkit via MCP

Why Use Google ADK with the Zenkit MCP Server

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

01

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

02

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

03

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

04

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

Zenkit + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

Zenkit MCP Tools for Google ADK (8)

These 8 tools become available when you connect Zenkit to Google ADK via MCP:

01

create_entry

Requires a JSON object with field values. Create a new entry in a list

02

delete_entry

Delete an entry from a list

03

get_list_details

Get details for a specific list

04

get_workspace_details

Get details for a specific workspace

05

list_elements

List all elements (fields) defined in a list

06

list_entries

List all entries (items) in a list

07

list_workspaces

List all workspaces and their lists

08

update_entry

Update an existing entry

Example Prompts for Zenkit in Google ADK

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

01

"List all my Zenkit workspaces and their collections."

02

"Show me all entries in the list with ID '98765'."

03

"Create a new entry in list '98765' with name 'Finish API documentation'."

Troubleshooting Zenkit MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Zenkit + Google ADK FAQ

Common questions about integrating Zenkit MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect Zenkit to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.