How to Use the Zammad MCP in Google ADK
Automate Zammad workflows using Google ADK and BigQuery context.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zammad MCP to Google ADK
Create your Vinkius account to connect Zammad 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.
Manage ticket lifecycles.
The `create_ticket` tool allows your agent to generate a new Zammad ticket record. You can also keep the thread current by calling `list_ticket_articles`, and then using `create_ticket_article` to add context. If an issue is resolved, remember that `delete_ticket` exists for fully removing records from Zammad.
Control user access and structure.
Building enterprise agents means managing identity. Use `get_user` to pull specific details on any employee or contact in Zammad. You can also manage the entire roster with `list_users`. Need to prune old accounts? The recommended method is using `data_privacy_delete_user`, which handles user deletion via a Data Privacy task for Zammad.
Search and retrieve organizational data.
Your agent can pull deep insights into your setup. Try `search_users` to find specific people, or use `list_organizations` to see every available company structure in Zammad. Grouping assets is simple; run `get_group` for details on a single group, or use `list_groups` to get the full list of groups within Zammad.
Set up Zammad MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Zammad tools in your ADK agent.
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="Zammad_agent",
model="gemini-2.0-flash",
instruction="You have access to Zammad tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zammad. 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.
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 Zammad MCP in Google ADK
Use it with your favorite AI tools
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