Bring Asset Tracking
to Google ADK
Learn how to connect Kitetags to Google ADK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
How it works
- Subscribe to this server
- Retrieve your API Key from your Kitetags dashboard (Settings > API & Integrations)
- Start orchestrating your assets from Claude, Cursor, or any MCP client
No more manual checking of individual tag locations or missing critical asset moves. Your AI acts as your dedicated logistics coordinator and tag architect.
Who is this for?
- Logistics Managers — instantly retrieve asset summaries and monitor tag locations using natural language commands
- Asset Controllers — verify tag claim statuses and track group assignments without leaving your creative workspace
- Growth Leads — integrate high-speed smart tag data into custom inventory pipelines through simple AI queries
Built-in capabilities (12)
Verify connectivity
Create a group
Create a tag
Delete a group
Delete a tag
Get group details
Get tag details
Get tag analytics
List tags in group
List groups
List tags
Search tags
Why Google ADK?
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.
- —
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
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Kitetags tools with BigQuery, Vertex AI, and Cloud Functions
Kitetags in Google ADK
Kitetags and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Kitetags to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Kitetags in Google ADK
The Kitetags 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Kitetags for Google ADK
Every tool call from Google ADK to the Kitetags MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Kitetags API Key?
Log in to your account, navigate to Settings > API & Integrations, and copy your unique Access Token.
Can I see last known locations via AI?
Yes! The list_kitetags_tags tool provides high-fidelity location metadata and timestamps for all your smart tags.
How do I list my tag groups?
Use the list_kitetags_groups tool to retrieve your complete high-fidelity directory along with the unique identifiers for all managed categories.
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.
McpToolset not found
Update: pip install --upgrade google-adk
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