Kitetags MCP Server for Google ADKGive Google ADK instant access to 12 tools to Check Kitetags Status, Create Group, Create Tag, and more
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Kitetags 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 Kitetags MCP Server for Google ADK is a standout in the Marketing Automation 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
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="kitetags_agent",
instruction=(
"You help users interact with Kitetags "
"using 12 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 Kitetags MCP Server
Connect your Kitetags account to any AI agent and take full control of your asset tracking infrastructure and automated smart tag workflows through natural conversation.
Google ADK natively supports Kitetags 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.
What you can do
- Tag Portfolio Orchestration — List and manage your entire high-fidelity database of smart tags programmatically, retrieving detailed technical metadata and claim status
- Location Intelligence — Programmatically query and monitor the last known locations of your tagged assets to maintain a perfectly coordinated logistical overview
- Group & Category Architecture — Access your complete directory of tag groups and categories to oversee your organizational resource allocation in real-time
- Smart Alert Monitoring — Access real-time status updates and track tag activity directly through your agent for instant operational reporting
- Operational Monitoring — Verify account-level API connectivity and monitor tag volume directly through your agent for perfectly coordinated service scaling
The Kitetags MCP Server exposes 12 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 12 Kitetags tools available for Google ADK
When Google ADK connects to Kitetags through Vinkius, your AI agent gets direct access to every tool listed below — spanning asset-tracking, inventory-management, location-intelligence, 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.
Check kitetags status on Kitetags
Verify connectivity
Create group on Kitetags
Create a group
Create tag on Kitetags
Create a tag
Delete group on Kitetags
Delete a group
Delete tag on Kitetags
Delete a tag
Get group on Kitetags
Get group details
Get tag on Kitetags
Get tag details
Get tag analytics on Kitetags
Get tag analytics
List group tags on Kitetags
List tags in group
List groups on Kitetags
List groups
List tags on Kitetags
List tags
Search tags on Kitetags
Search tags
Connect Kitetags to Google ADK via MCP
Follow these steps to wire Kitetags 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 Kitetags MCP Server
Google ADK provides unique advantages when paired with Kitetags 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 Kitetags
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 Kitetags tools with BigQuery, Vertex AI, and Cloud Functions
Kitetags + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Kitetags MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Kitetags and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Kitetags tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Kitetags regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Kitetags
Example Prompts for Kitetags in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Kitetags immediately.
"List all active smart tags in my Kitetags account."
"Show the last known location for tag ID 'tag_987'."
"List all tag groups and their current member counts."
Troubleshooting Kitetags MCP Server with Google ADK
Common issues when connecting Kitetags to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkKitetags + Google ADK FAQ
Common questions about integrating Kitetags 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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