Kitetags MCP for AI. Control and map every asset in your inventory.
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…and any MCP-compatible client
Connect to your AI in seconds.
Kitetags gives your AI agent control over high-fidelity asset tracking. It lets you manage physical smart tag portfolios, query real-time location data for tagged equipment, and organize assets into custom groups using natural conversation.
What your AI can do
Check kitetags status
Verifies the connection status between your agent and the Kitetags platform.
Create group
Creates a new, labeled group for organizing related smart tags.
Create tag
Registers a brand-new physical tag into the system inventory.
Query the last known physical location and detailed technical metadata for any tagged asset.
Create, read, update, or delete individual smart tags within your system.
List all existing tag groupings, create new organizational containers, and manage group assignments.
Retrieve performance data and analytics specific to a given tag ID.
Verify the connection status and overall volume of your tagging system's API.
Ask an AI about this
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Kitetags: 12 Tools for Asset Management
Use these twelve tools to manage every aspect of your tag inventory, from creating new assets to querying their last known location.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Kitetags on VinkiusCheck Kitetags Status
Verifies the connection status between your agent and the Kitetags platform.
Create Group
Creates a new, labeled group for organizing related smart tags.
Create Tag
Registers a brand-new physical tag into the system inventory.
Delete Group
Removes an entire group structure from your tag directory.
Delete Tag
Removes a specific tag record from the system.
Get Tag Analytics
Fetches performance metrics and usage data for a specific smart tag.
Get Group
Retrieves full details and metadata for an existing group ID.
Get Tag
Gets all detailed information about a specific tag ID.
List Group Tags
Lists all tags currently assigned to a designated group ID.
List Groups
Retrieves a directory of every available tag group name and ID.
List Tags
Lists all existing tags currently in the system inventory.
Search Tags
Searches across your entire tag database using keywords or criteria.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Kitetags integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Kitetags, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kitetags. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 12 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Keeping tabs on physical inventory is a massive time sink.
Today, tracking valuable equipment means switching between multiple dashboards. You jump from the main asset list to check status codes, then open a separate map tool for location data, and finally export everything to a spreadsheet just to count how many assets are overdue or unassigned.
With this MCP, your agent handles it all. You simply ask: 'Show me every tag in Warehouse B that hasn't reported a location update in 48 hours.' The system runs the necessary checks and gives you an organized list right away.
The Kitetags MCP lets you control your entire asset lifecycle.
You no longer have to manually register tags or move them between groups. The agent can read the directory using `list_groups`, identify which assets need organizing, and then create new structure elements using `create_group` or add individual records with `create_tag`.
It's a single conversation that handles creation, organization, retrieval, and deletion of asset data.
What your AI can actually do with this
Need to keep track of hundreds of moving parts? This MCP connects your entire asset tracking infrastructure directly into your AI client. You stop manually checking dashboards or cross-referencing spreadsheets. Instead, you talk to your agent about your inventory—ask for a list of all active tags in 'Warehouse A,' and the agent gets it instantly.
It lets you maintain a complete logistical overview by querying the last known location of any asset ID. You can also manage your entire organizational structure; for instance, checking which groups exist or creating new ones on demand. All this capability is managed through Vinkius, giving your AI client access to thousands of tools across multiple industries.
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Here's how it actually works
The bottom line is: Your AI client treats your asset database like another source of truth, accessible via simple conversation.
Subscribe to this MCP on Vinkius, then retrieve your unique API Key from your Kitetags account settings.
Direct your AI client (like Cursor or Claude) to use the connector. The agent validates connectivity using check_kitetags_status.
Ask your agent a question about assets, like 'Show me all tags in the 'High Value' group,' and it executes the necessary calls.
Who is this actually for?
Logistics Managers who spend too much time compiling location reports. Asset Controllers stuck switching between inventory software and spreadsheets. Operations Directors needing a single point of data access for physical assets.
Retrieves summaries of active tags and monitors asset locations using natural language commands instead of dashboard filters.
Verifies the claim status of assets and manages group assignments without leaving their primary workflow environment.
Gets a real-time view of all tags belonging to specific categories or groups for immediate operational reporting.
What Changes When You Connect
Instantly pull full tag summaries using list_tags or the agent's search function. You get a complete, structured overview of all physical assets without opening a dashboard.
Pinpoint exact asset locations by querying the last known location for any ID. This provides high-fidelity GPS data crucial for live logistics planning.
Build and refine your organizational structure using list_groups and create_group. You can maintain complex tag hierarchies directly through conversation with your agent.
Monitor service health immediately. Use check_kitetags_status to verify the API connection, ensuring that mission-critical tracking data is always available when you need it.
Manage inventory lifecycle using dedicated tools. You can create new assets via create_tag, or retire them safely with delete_tag, all in one workflow.
See it in action
Audit Compliance for a Client Site
The operations team needs to know which high-value equipment was last seen at the client site. They ask their agent to query the location of all tags in the 'Client Assets' group, allowing them to compile an immediate compliance report.
Reorganizing Inventory Categories
The warehouse needs to separate old equipment from new inventory. Instead of manually moving records, they ask their agent to list all tags in 'Old Stock' and assign them to a newly created group called 'Disposal Queue,' using list_group_tags and create_group.
Post-Incident Location Check
After an incident, the team needs immediate status updates. They ask their agent to get the last known location for a specific tag ID, receiving high-fidelity GPS metadata instantly.
The honest tradeoffs
Checking data in separate systems
Opening the main inventory dashboard to see asset count, then opening a secondary map tool for location, and finally running a spreadsheet check for claim status.
Ask your agent to retrieve all tag details using list_tags, then ask it to filter that data by 'claim status' or group assignment. It combines the three sources into one answer.
Manually updating groups
A manager needs to move 20 tags from Group A to Group B, requiring clicking on each tag record and changing its parent folder.
Use your agent to list all tags in the current group (list_group_tags), then instruct it to assign those specific tags into a new target group using create_group.
Searching by vague keywords
Typing 'broken equipment' into a generic search bar and getting irrelevant results because the system doesn't understand asset metadata.
Use search_tags with specific criteria, or better yet, use your agent to query tags within an existing group directory using get_group.
When It Fits, When It Doesn't
Use this MCP if your primary job involves tracking physical assets in the real world. If you need to know where a tag is, what its technical metadata is, or which group it belongs to, this connector is essential. Don't use it if your goal is only content generation—for that, look at hashtag analysis tools. However, if your workflow requires managing asset groups and tags (like creating new categories or listing all existing assets), you must use the specific list_groups or list_tags tools to get a full picture.
Questions you might have
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.
What is the process for adding a new asset using the `create_tag` tool? +
You use create_tag to generate a brand-new smart tag record. You must provide all required metadata and specify which existing group the tag belongs to when calling this function.
How do I check exactly what tags belong to a specific collection using `list_group_tags`? +
The list_group_tags tool retrieves every single tag currently assigned to a chosen group. This lets you quickly verify membership counts or identify any missing assets in that category.
What kind of data does the `get_tag_analytics` tool provide? +
The get_tag_analytics function pulls usage metrics and historical data for a specific tag ID. It helps you track activity volume, location changes, or time since the last recorded use.
If I need to confirm my API connection first, should I run `check_kitetags_status`? +
Running check_kitetags_status verifies your account's live link to Kitetags. It confirms the MCP agent can communicate with the service and execute operations successfully.
What if I only know part of a tag's name? Can I use `search_tags`? +
Yes, the search_tags tool lets you find tags using keywords or partial names. This saves time when tracking assets across multiple groups without knowing the exact ID.
We've already built the connector for Kitetags. Just plug in your AI agents and start using Vinkius.
No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting.
You're up and running in seconds.
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