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Otreeba Cannabis API MCP Server for Pydantic AI 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Otreeba Cannabis API through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Otreeba Cannabis API "
            "(6 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Otreeba Cannabis API?"
    )
    print(result.data)

asyncio.run(main())
Otreeba Cannabis API
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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.

Pydantic AI validates every Otreeba Cannabis API tool response against typed schemas, catching data inconsistencies at build time. Connect 6 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Otreeba Cannabis API MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 6 tools from Otreeba Cannabis API with type-safe schemas

Why Use Pydantic AI with the Otreeba Cannabis API MCP Server

Pydantic AI provides unique advantages when paired with Otreeba Cannabis API through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Otreeba Cannabis API integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Otreeba Cannabis API connection logic from agent behavior for testable, maintainable code

Otreeba Cannabis API + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Otreeba Cannabis API MCP Server delivers measurable value.

01

Type-safe data pipelines: query Otreeba Cannabis API with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Otreeba Cannabis API tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Otreeba Cannabis API and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Otreeba Cannabis API responses and write comprehensive agent tests

Otreeba Cannabis API MCP Tools for Pydantic AI (6)

These 6 tools become available when you connect Otreeba Cannabis API to Pydantic AI via MCP:

01

get_brand

Get details for a specific cannabis brand

02

get_flower_lab_data

) and terpene data for a specific strain. Get lab test results for cannabis flower

03

get_oil_lab_data

Get lab test results for cannabis oil/extracts

04

get_strain

Get full details for a specific cannabis strain

05

list_brands

List all cannabis brands available in Otreeba

06

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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Otreeba Cannabis API immediately.

01

"Search for Indica strains that help with sleep."

02

"Get the lab data for Blue Dream flower."

03

"List all cannabis brands in the database."

Troubleshooting Otreeba Cannabis API MCP Server with Pydantic AI

Common issues when connecting Otreeba Cannabis API to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Otreeba Cannabis API + Pydantic AI FAQ

Common questions about integrating Otreeba Cannabis API MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Otreeba Cannabis API MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Otreeba Cannabis API to Pydantic AI

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.