Zeev MCP Server for Google ADKGive Google ADK instant access to 11 tools to Cancel Request, Create Request, Delegate Task, and more
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Zeev as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The Zeev MCP Server for Google ADK is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom 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="zeev_agent",
instruction=(
"You help users interact with Zeev "
"using 11 available tools."
),
tools=[mcp_tools],
)
* 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 Zeev MCP Server
What you can do
- List and manage your pending tasks in real-time.
- Start new process requests with custom form data.
- Complete tasks and make decisions directly from your AI agent.
- Delegate tasks to other team members and track process history.
Who is it for?
- Process managers looking for automated workflow control.
- Operations teams needing quick task execution.
- Developers integrating BPM into their AI-driven applications.
Google ADK natively supports Zeev as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
The Zeev MCP Server exposes 11 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Zeev tools available for Google ADK
When Google ADK connects to Zeev through Vinkius, your AI agent gets direct access to every tool listed below — spanning bpm, workflow-automation, process-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Cancel request on Zeev
Cancel an active process request
Create request on Zeev
Start a new process request in Zeev
Delegate task on Zeev
Delegate a task to another user
Finish task on Zeev
Finish/Complete a Zeev task
Get me on Zeev
Get current user information
Get process on Zeev
Get details of a process definition
Get request on Zeev
Get details of a specific process request
Get task on Zeev
Get details of a specific Zeev task
List processes on Zeev
List available process definitions
List requests on Zeev
List process requests (instances) in Zeev
List tasks on Zeev
List pending tasks in Zeev
Connect Zeev to Google ADK via MCP
Follow these steps to wire Zeev into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the Zeev MCP Server
Google ADK provides unique advantages when paired with Zeev 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 Zeev
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 Zeev tools with BigQuery, Vertex AI, and Cloud Functions
Zeev + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Zeev MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Zeev and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Zeev tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Zeev regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Zeev
Example Prompts for Zeev in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Zeev immediately.
"List my pending tasks in Zeev."
"Finish task 123 with decision 'Approved'."
"Start a new 'Expense Report' process."
Troubleshooting Zeev MCP Server with Google ADK
Common issues when connecting Zeev to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkZeev + Google ADK FAQ
Common questions about integrating Zeev MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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