How to Use the Cannlytics Strain API MCP in Pydantic AI

Get type-safe cannabis data with Pydantic AI and the Cannlytics Strain API.

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Connect Cannlytics Strain API MCP to Pydantic AI

Create your Vinkius account to connect Cannlytics Strain API to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Cannlytics Strain API with Pydantic AI

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Claude

Perplexity

Type-safe strain lookups for Pydantic AI

Use `get_strain` to return validated objects. Pydantic AI checks every field against your models so you never handle malformed cannabis data. It stops bugs before they happen. If the Cannlytics response changes, your agent crashes safely instead of hallucinating.

Validate flavor and effect data

Run `get_flavors` and `get_effects` to populate your typed agents. You define the schema, and the server provides the data that fits. This is strictly enforced. You get exactly what you expect from the Cannlytics Strain API every time.

Find similar strains with runtime checks

Call `get_similar_strains` to get a list of objects that pass your runtime validation. Your agent relies on this structure to make accurate recommendations. It keeps your logic sound. You trust the data because Pydantic AI validates the server response immediately.

Setup guide

Set up Cannlytics Strain API MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "cannlytics-strain-api-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Cannlytics Strain API tools.",
)

result = await agent.run("List recent Cannlytics Strain API transactions")
print(result.output)

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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 Pydantic AI

Install the slim package and add the MCPToolset to your agent. It validates everything at runtime.

Your agent throws a validation error instantly. You catch the problem before it hits your production logic.

Yes. Pydantic AI is model-agnostic and handles the MCP server connection regardless of your LLM choice.

The server transmits data directly to your agent. No third parties touch your strain records.

We use zero-trust transport. Your token ensures that only your agent accesses your data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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