Otreeba Cannabis API MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Otreeba Cannabis API 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({
"otreeba-cannabis-api": {
"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 Otreeba Cannabis API, 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 Otreeba Cannabis API MCP Server
Connect Otreeba to any AI agent and access open, verified cannabis data -- search strains, get lab results (THC, CBD, terpenes), and explore cannabis brands through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Otreeba Cannabis API through native MCP adapters. Connect 6 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
- Strain Search -- Find cannabis strains by name, effects, or keywords
- Lab Data -- Retrieve cannabinoid and terpene profiles for flower and oils
- Brand Directory -- List and inspect cannabis producers and brands
The Otreeba Cannabis API MCP Server exposes 6 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 Otreeba Cannabis API to LangChain via MCP
Follow these steps to integrate the Otreeba Cannabis API 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 6 tools from Otreeba Cannabis API via MCP
Why Use LangChain with the Otreeba Cannabis API MCP Server
LangChain provides unique advantages when paired with Otreeba Cannabis API through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Otreeba Cannabis API 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 Otreeba Cannabis API queries for multi-turn workflows
Otreeba Cannabis API + LangChain Use Cases
Practical scenarios where LangChain combined with the Otreeba Cannabis API MCP Server delivers measurable value.
RAG with live data: combine Otreeba Cannabis API tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Otreeba Cannabis API, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Otreeba Cannabis API tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Otreeba Cannabis API tool call, measure latency, and optimize your agent's performance
Otreeba Cannabis API MCP Tools for LangChain (6)
These 6 tools become available when you connect Otreeba Cannabis API to LangChain via MCP:
get_brand
Get details for a specific cannabis brand
get_flower_lab_data
) and terpene data for a specific strain. Get lab test results for cannabis flower
get_oil_lab_data
Get lab test results for cannabis oil/extracts
get_strain
Get full details for a specific cannabis strain
list_brands
List all cannabis brands available in Otreeba
search_strains
Use this to discover available strains in the Otreeba database. Search for cannabis strains by name or keyword
Example Prompts for Otreeba Cannabis API in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Otreeba Cannabis API immediately.
"Search for Indica strains that help with sleep."
"Get the lab data for Blue Dream flower."
"List all cannabis brands in the database."
Troubleshooting Otreeba Cannabis API MCP Server with LangChain
Common issues when connecting Otreeba Cannabis API to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOtreeba Cannabis API + LangChain FAQ
Common questions about integrating Otreeba Cannabis API 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 Otreeba Cannabis API 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 Otreeba Cannabis API to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.
