Kannapedia Cannabis Genetics MCP Server for LlamaIndex 4 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kannapedia Cannabis Genetics 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 Kannapedia Cannabis Genetics. "
"You have 4 tools available."
),
)
response = await agent.run(
"What tools are available in Kannapedia Cannabis Genetics?"
)
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 Kannapedia Cannabis Genetics MCP Server
Connect Kannapedia to any AI agent and access a comprehensive cannabis genetics database -- search strains by name, filter by dominant terpenes, or find genetics based on specific effects through natural conversation.
LlamaIndex agents combine Kannapedia Cannabis Genetics tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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 genetics by name or keyword
- Terpene Profiles -- Search strains by dominant terpenes like Myrcene or Limonene
- Effect Filtering -- Discover strains associated with specific effects like Sleep or Focus
- Strain Details -- Get full lineage and description data
The Kannapedia Cannabis Genetics MCP Server exposes 4 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 Kannapedia Cannabis Genetics to LlamaIndex via MCP
Follow these steps to integrate the Kannapedia Cannabis Genetics 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 4 tools from Kannapedia Cannabis Genetics
Why Use LlamaIndex with the Kannapedia Cannabis Genetics MCP Server
LlamaIndex provides unique advantages when paired with Kannapedia Cannabis Genetics through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kannapedia Cannabis Genetics tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kannapedia Cannabis Genetics tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kannapedia Cannabis Genetics, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kannapedia Cannabis Genetics tools were called, what data was returned, and how it influenced the final answer
Kannapedia Cannabis Genetics + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kannapedia Cannabis Genetics MCP Server delivers measurable value.
Hybrid search: combine Kannapedia Cannabis Genetics real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kannapedia Cannabis Genetics 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 Kannapedia Cannabis Genetics for fresh data
Analytical workflows: chain Kannapedia Cannabis Genetics queries with LlamaIndex's data connectors to build multi-source analytical reports
Kannapedia Cannabis Genetics MCP Tools for LlamaIndex (4)
These 4 tools become available when you connect Kannapedia Cannabis Genetics to LlamaIndex via MCP:
get_strain_detail
Get detailed information for a specific strain
search_by_effect
g., Relaxed, Energetic, Sleepy). Search strains by reported effect
search_by_terpene
g., Myrcene, Limonene). Search strains by dominant terpene
search_genetics
Use this to discover specific genetics in the Kannapedia database. Search cannabis strains by name or keyword
Example Prompts for Kannapedia Cannabis Genetics in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Kannapedia Cannabis Genetics immediately.
"Search for strains high in Limonene."
"Show me details for OG Kush."
"Find strains that help with Sleep."
Troubleshooting Kannapedia Cannabis Genetics MCP Server with LlamaIndex
Common issues when connecting Kannapedia Cannabis Genetics to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKannapedia Cannabis Genetics + LlamaIndex FAQ
Common questions about integrating Kannapedia Cannabis Genetics 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 Kannapedia Cannabis Genetics 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 Kannapedia Cannabis Genetics to LlamaIndex
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.