How to Use the Uniqode MCP in LlamaIndex

Q: How does Uniqode enhance RAG with LlamaIndex?

LlamaIndex takes tool outputs—like the results of listcampaigns or getaccountinfo—and turns them into searchable vector embeddings. Your knowledge base is built on live, actual API data from your MCP Server.

Q: Can I query historical scan trends using Uniqode and LlamaIndex?

Yes. By indexing the results of getanalyticslocation and getanalyticstime, you can ask semantic questions about your past scanning patterns, retrieving detailed answers grounded in the recorded data.

Q: If I want to find out if a QR code was deleted, how do I use Uniqode with LlamaIndex?

You can index the results of listqrcodes and then query for historical deletion events or records. This provides an audit trail that goes beyond just calling getqrcode.

Ground your AI with LlamaIndex: Index Uniqode’s QR tracking data into a searchable knowledge base.

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Connect Uniqode MCP to LlamaIndex

Create your Vinkius account to connect Uniqode to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Uniqode with LlamaIndex

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Building an Analytical Knowledge Base

LlamaIndex indexes the results from `get_analytics_location` and `get_analytics_time`. Instead of just showing charts, you query past sessions to ask questions like, 'What was the typical scan time in Chicago?' This capability turns raw API data into structured knowledge. Your RAG application retrieves answers grounded directly in your historical Uniqode scan metrics, eliminating guesswork.

Querying Code and Campaign History

Want to know why a specific code was used? Index the outputs from `list_qrcodes` and `get_qrcode`. You can query historical records and retrieve details on old QR codes or their associated campaigns. This means your AI client doesn't just call tools; it searches through all recorded API data, giving context that simple live calls miss.

Structured Resource Lookup

The MCP Server exposes organizational structure via `list_organizations`, `list_folders`, and `list_tags`. Indexing these lists allows your agent to understand the hierarchy of content. This is useful for onboarding. You can ask, 'Which campaigns are linked to tags in the West Coast division?' The index combines data from multiple list tools into one unified answer.

Setup guide

Set up Uniqode MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Uniqode MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Uniqode tools.",
)
response = await agent.run("List recent Uniqode data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Uniqode. 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.

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Common questions about Uniqode MCP in LlamaIndex

LlamaIndex takes tool outputs—like the results of `list_campaigns` or `get_account_info`—and turns them into searchable vector embeddings. Your knowledge base is built on live, actual API data from your MCP Server.

Yes. By indexing the results of `get_analytics_location` and `get_analytics_time`, you can ask semantic questions about your past scanning patterns, retrieving detailed answers grounded in the recorded data.

The MCP Server handles QR code details, campaign lists, folder structures, and account information. Your index can combine these diverse data types into a single queryable resource.

The server touches scan analytics data (location/time). When indexing, this data type becomes part of your knowledge base. You control what gets indexed and how it's queried by your agent.

You can index the results of `list_qrcodes` and then query for historical deletion events or records. This provides an audit trail that goes beyond just calling `get_qrcode`.

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