How to Use the Cannlytics Strain API MCP in LlamaIndex
Index Cannlytics Strain API data into vector stores to build hallucination-free cannabis query systems with LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Cannlytics Strain API MCP to LlamaIndex
Create your Vinkius account to connect Cannlytics Strain API to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index Cannabis Data Using This MCP Server
`get_strain` pulls raw, structured chemical data for specific cannabis strains directly into your LlamaIndex pipeline. LlamaIndex ingests these Cannlytics API responses, turning them into indexable documents. You build a local cannabis knowledge base that updates dynamically. Your agent queries this index instead of guessing, eliminating hallucinated strain profiles.
Expose Flavor and Effect Profiles to Semantic Search
`get_flavors` and `get_effects` extract qualitative attributes for any cannabis variety. LlamaIndex processes these MCP outputs as node metadata, making them searchable via semantic queries. Users can search your index using natural language like "sweet citrus profile for anxiety". LlamaIndex matches these queries against the indexed Cannlytics outputs to find the exact strain.
Generate Context-Aware Strain Recommendations
`get_similar_strains` fetches related cannabis varieties based on chemical similarity. LlamaIndex uses these relationships to build a graph-based index of connected cannabis strains. Your LlamaIndex query engine traverses this graph to recommend alternative strains. The resulting cannabis recommendations rely on actual Cannlytics database relationships rather than simple vector proximity.
Set up Cannlytics Strain API MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Cannlytics Strain API MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Cannlytics Strain API tools.",
)
response = await agent.run("List recent Cannlytics Strain API data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cannlytics. 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.
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Common questions about Cannlytics Strain API MCP in LlamaIndex
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