Kitetags MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Kitetags Status, Create Group, Create Tag, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kitetags as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The Kitetags MCP Server for LlamaIndex 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
Geminiimport asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Kitetags. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Kitetags?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Kitetags tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Kitetags into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Kitetags MCP Server
LlamaIndex provides unique advantages when paired with Kitetags through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kitetags tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kitetags tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kitetags, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kitetags tools were called, what data was returned, and how it influenced the final answer
Kitetags + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kitetags MCP Server delivers measurable value.
Hybrid search: combine Kitetags real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kitetags to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Kitetags for fresh data
Analytical workflows: chain Kitetags queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Kitetags in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Kitetags to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKitetags + LlamaIndex FAQ
Common questions about integrating Kitetags MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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