OpenTHC MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect OpenTHC through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"openthc": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using OpenTHC, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 OpenTHC MCP Server
Connect your OpenTHC Cannabis Regulatory Compliance Engine to any AI agent and take full control of your seed-to-sale workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with OpenTHC through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Company & License Management — List all registered companies and verify active cannabis licenses for compliance assurance
- Cultivation Tracking — Query all active plants in cultivation with growth stages, strain varieties, and facility room locations
- Inventory Control — Fetch complete inventory ledger including harvested material, work-in-progress, finished goods, and destruction candidates
- Laboratory Testing — Access lab samples and Certificates of Analysis (CoA) with full potency, terpene, and contaminant test results
- B2B Transfers — Monitor incoming and outgoing wholesale transfer orders with manifests, bills of lading, and fulfillment status
- Retail Sales — Retrieve point-of-sale B2C transaction history for daily reporting, tax verification, and purchase limit enforcement
- Product Catalog — Browse your complete cannabis product catalog with THC/CBD percentages, SKU data, and regulatory classifications
- Facility Organization — List cultivation rooms, processing areas, and operational zones for spatial inventory and workflow planning
The OpenTHC MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect OpenTHC to LangChain via MCP
Follow these steps to integrate the OpenTHC MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from OpenTHC via MCP
Why Use LangChain with the OpenTHC MCP Server
LangChain provides unique advantages when paired with OpenTHC through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine OpenTHC MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across OpenTHC queries for multi-turn workflows
OpenTHC + LangChain Use Cases
Practical scenarios where LangChain combined with the OpenTHC MCP Server delivers measurable value.
RAG with live data: combine OpenTHC tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query OpenTHC, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain OpenTHC tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every OpenTHC tool call, measure latency, and optimize your agent's performance
OpenTHC MCP Tools for LangChain (12)
These 12 tools become available when you connect OpenTHC to LangChain via MCP:
list_b2b_transactions
Each B2B transaction record contains the transfer ID, direction (incoming/outgoing), counterparty company, transfer status (draft, committed, received, rejected), creation date, expected fulfillment date, line items with quantities, and attached manifests or bills of lading. Essential for supply chain orchestration, logistics planning, and regulatory transfer documentation. AI agents use this to track shipment status, verify received quantities, and prepare compliance reports. List all B2B transfer transactions (incoming and outgoing)
list_b2c_transactions
Each transaction includes the sale ID, customer information (if recorded), sale date, line items with products and quantities, total amount, tax breakdown, dispensary location, and inventory deduction confirmations. Critical for daily sales reporting, tax calculation verification, inventory reconciliation, and regulatory sales limit enforcement. AI agents should query this to analyze sales patterns, verify compliance with purchase limits, and prepare end-of-day reports. List all retail B2C sales transactions
list_companies
Use this to understand which organizations are part of your regulatory network, including license holders, cultivators, processors, distributors, and retailers. Each company record contains legal identification data, registration status, and associated license information. Essential for multi-company operations and B2B transaction verification. List all companies registered in the OpenTHC compliance engine
list_contacts
Each contact includes company affiliation, contact type (B2B partner, regulatory agency, logistics provider), communication details, and relationship status. Use this to identify verified trading partners before creating B2B transfer orders or compliance documentation. List all business contacts in the OpenTHC network
list_inventory
Each inventory item displays the lot number, item type, quantity with unit of measurement, storage location, creation date, chain of custody history, and compliance status. Fundamental for stock reconciliation, audit preparation, transfer order creation, and regulatory reporting. AI agents should query this before fulfilling orders or conducting inventory audits. List all inventory items with quantities and locations
list_lab_results
Each result includes the lab result ID, linked sample, testing laboratory accreditation, full analytical results (THC/CBD potency, terpene profile, contaminant levels), pass/fail determination, and the official CoA document reference. Critical for regulatory compliance, product labeling accuracy, retail menu display, and consumer transparency. AI agents should reference this to verify product safety before sale or transfer. List all laboratory test results and certificates of analysis
list_lab_samples
Each sample contains the sample ID, linked inventory lot, sample type (flower, edible, concentrate), test panel requested (potency, pesticides, heavy metals, mycotoxins, microbials, residual solvents), submission date, testing laboratory, and current analysis status. Essential for quality assurance workflows, batch release decisions, and compliance with mandatory testing regulations. AI agents should check this to determine if a batch has pending or cleared lab results. List all laboratory samples submitted for testing
list_licenses
Each license contains the license type, expiration dates, regulatory conditions, and approval status. Critical for compliance verification — AI agents should check this before initiating any regulated activity to ensure the proper license is active and valid for the intended operation. List all cannabis licenses associated with your account
list_plants
Each plant record contains the unique plant ID (POP/PIP tags), growth stage (vegetative, flowering, harvesting), strain/variety, location within the facility (room, rack, shelf), planting date, and estimated harvest window. Critical for cultivation management, compliance reporting, and seed-to-sale traceability. AI agents use this to monitor crop health, predict harvest timelines, and ensure regulatory plant count limits are respected. List all cannabis plants in active cultivation
list_products
Each product entry contains the product name, type classification, SKU, potency information (THC/CBD percentages), package sizes, and regulatory tags. Essential for retail operations, menu generation, and B2B sales order creation. AI agents should reference this when checking product availability or creating sales transactions. List all cannabis products in your inventory catalog
list_sections
Each section entry includes the section ID, name, purpose classification (vegetation room, flowering room, drying room, processing area, retail floor, warehouse), environmental parameters, and capacity limits. Essential for spatial inventory tracking, cultivation workflow organization, facility compliance inspections, and operational planning. AI agents use this to assign plants to specific rooms during cultivation activities, locate inventory within the facility, and generate room-level production reports. List all facility sections and cultivation areas
list_varieties
Each variety record contains the variety ID, strain name (e.g., Blue Dream, OG Kush, Sour Diesel), genetics type (Type I - THC dominant, Type II - Mixed THC/CBD, Type III - CBD dominant), breeder information, and associated cultivation characteristics. Fundamental for cultivation planning, product labeling, genetic tracking, and regulatory strain registration. AI agents reference this when creating new plant records, generating product labels, or analyzing strain performance metrics. List all cannabis varieties (strains) in the system
Example Prompts for OpenTHC in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with OpenTHC immediately.
"List all our active cannabis licenses and verify which ones are expiring soon."
"Show me all plants currently in flowering stage in Room 3 and estimate harvest readiness."
"Check inventory levels for all THC-dominant flower products and show me pending lab results."
Troubleshooting OpenTHC MCP Server with LangChain
Common issues when connecting OpenTHC to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOpenTHC + LangChain FAQ
Common questions about integrating OpenTHC MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect OpenTHC with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OpenTHC to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.