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Vinkius runs on LlamaIndex

How to Use the OpenTHC MCP in LlamaIndex

Index live OpenTHC compliance data into LlamaIndex to query your cannabis inventory and lab results with zero hallucinations.

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Works with every AI agent you already use

…and any MCP-compatible client

OpenTHC MCP on Cursor AI Code Editor MCP Client OpenTHC MCP on Claude Desktop App MCP Integration OpenTHC MCP on OpenAI Agents SDK MCP Compatible OpenTHC MCP on Visual Studio Code MCP Extension Client OpenTHC MCP on GitHub Copilot AI Agent MCP Integration OpenTHC MCP on Google Gemini AI MCP Integration OpenTHC MCP on Lovable AI Development MCP Client OpenTHC MCP on Mistral AI Agents MCP Compatible OpenTHC MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on LlamaIndex

Connect OpenTHC MCP to LlamaIndex

Create your Vinkius account to connect OpenTHC to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Build a searchable OpenTHC knowledge base

`list_inventory` pulls your entire catalog of cannabis lots, weights, and storage locations directly into your LlamaIndex vector store. This lets you run semantic queries over your physical stock instead of writing custom database scripts. Your agent answers complex inventory questions instantly by searching this live index. By indexing these records, you bridge the gap between physical reality and digital records. The framework updates this knowledge base continuously, keeping your compliance data fresh.

Query lab analysis data using this MCP Server

`list_lab_results` retrieves official Certificates of Analysis and cannabinoid potencies for every product batch in your facility. LlamaIndex stores these results as nodes in your document index, enabling rapid search over terpene profiles and safety metrics. Budtenders query this index to find specific strain characteristics for customers. This system eliminates manual certificate lookup. Your agent matches physical packages to their chemical profiles by querying the indexed lab data directly.

Track retail sales history in LlamaIndex

`list_b2c_transactions` extracts daily dispensary sales records and tax breakdowns to feed your financial index. LlamaIndex synthesizes this raw transaction data to highlight buying patterns and tax liabilities. You get real-time compliance reporting without exporting massive spreadsheets. The agent monitors these transactions to flag potential purchase limit violations. This protects your dispensary license from accidental compliance breaches.

Setup guide

Set up OpenTHC MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

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

  2. 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. 3

    Convert to LlamaIndex tools

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

  4. 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 OpenTHC tools.",
)
response = await agent.run("List recent OpenTHC data")

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

Why Choose Vinkius

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Common questions about OpenTHC MCP in LlamaIndex

Install the package and initialize `BasicMCPClient` with your Vinkius URI. Wrap it in `McpToolSpec` and call `to_tool_list_async()` to get the tools. Pass this list to your `FunctionAgent` to start querying compliance data.
Yes, you can load outputs from `list_products` and `list_varieties` directly into a vector index. This allows your agent to perform semantic searches over your strain genetics and product catalog. You get instant answers without hitting the live API for every query.
The MCP Server provides direct access to live endpoints like `list_inventory` which you can poll on a schedule. LlamaIndex upserts these records into your vector store to prevent data drift. This ensures your agent always reasons on current stock levels.
Yes, you can use the `allowed_tools` parameter in the client configuration to restrict access. For example, you might only expose `list_lab_results` to a customer-facing budtender agent. This keeps your financial and B2B transaction tools secure.
Vinkius manages the connection using an isolated V8 sandbox, ensuring your sensitive plant tags and retail sales data never leak. Your API credentials are never stored in plain text. Everything stays encrypted, and context is wiped between agent sessions.

Start using the OpenTHC MCP today

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