Otreeba Cannabis API MCP Server for LlamaIndex 6 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Otreeba Cannabis API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import 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 Otreeba Cannabis API. "
"You have 6 tools available."
),
)
response = await agent.run(
"What tools are available in Otreeba Cannabis API?"
)
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 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.
LlamaIndex agents combine Otreeba Cannabis API tool responses with indexed documents for comprehensive, grounded answers. Connect 6 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
- 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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Otreeba Cannabis API MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 6 tools from Otreeba Cannabis API
Why Use LlamaIndex with the Otreeba Cannabis API MCP Server
LlamaIndex provides unique advantages when paired with Otreeba Cannabis API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Otreeba Cannabis API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Otreeba Cannabis API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Otreeba Cannabis API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Otreeba Cannabis API tools were called, what data was returned, and how it influenced the final answer
Otreeba Cannabis API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Otreeba Cannabis API MCP Server delivers measurable value.
Hybrid search: combine Otreeba Cannabis API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Otreeba Cannabis API 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 Otreeba Cannabis API for fresh data
Analytical workflows: chain Otreeba Cannabis API queries with LlamaIndex's data connectors to build multi-source analytical reports
Otreeba Cannabis API MCP Tools for LlamaIndex (6)
These 6 tools become available when you connect Otreeba Cannabis API to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Otreeba Cannabis API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOtreeba Cannabis API + LlamaIndex FAQ
Common questions about integrating Otreeba Cannabis API 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?
Connect Otreeba Cannabis API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 LlamaIndex
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.