How to Use the Cannlytics Strain API MCP in CrewAI

Q: Can I create a CrewAI team to find strains with specific flavors from the Cannlytics Strain API?

Yes. A 'Searcher' agent can use searchstrains to get a broad list. A 'Flavor' agent would then use getflavors on each result, filtering for the ones you want. A final 'Compiler' agent could format the filtered list.

Q: What's the best way to set up the Cannlytics Strain API with CrewAI for a complex task?

For anything beyond a simple script, use MCPServerHTTP from crewai.mcp. This lets you use toolfilter to assign specific Cannlytics tools to specific agents. It makes your crew more organized and efficient.

Assemble a crew of AI agents on CrewAI to research, analyze, and report on cannabis strain data from Cannlytics.

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Setup Cannlytics Strain API with CrewAI

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A Research Crew for Strains

Assign roles to your agents. One agent, the 'Researcher,' uses `search_strains` to find a list of candidates. It passes this list to the next agent in the crew through shared context. A second agent, the 'Analyst,' takes that list and calls `get_strain` and `get_effects` for each one. It synthesizes the findings and passes a summary to a 'Writer' agent for a final report. This is how you automate research.

Autonomous Market Monitoring

Build a crew that watches the market for you. Your 'Scout' agent can run on a schedule, using `search_strains` with keywords like 'new' or 'popular' to find recent additions. When the Scout finds something, it triggers the 'Profiler' agent. The Profiler uses `get_flavors` and `get_similar_strains` to build a complete profile and posts it to a Slack channel. This whole process runs without you lifting a finger.

Specialized Agents, Better Results with this MCP Server

CrewAI lets you create highly specialized agents. You could have a 'FlavorExpert' agent that only has access to the `get_flavors` tool, or a 'Genealogist' agent that is only allowed to use `get_similar_strains`. This role-based tool access is configured when you set up your `MCPServerHTTP` object in CrewAI. It keeps agents from going off-task and makes your whole operation more predictable. This is a core benefit of using an MCP server.

Setup guide

Set up Cannlytics Strain API MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Cannlytics Strain API tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Cannlytics Strain API Analyst",
    goal="Access and analyze Cannlytics Strain API data via MCP.",
    backstory="Expert analyst with direct Cannlytics Strain API access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Cannlytics Strain API transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Cannlytics Strain API Analyst",
        goal="Access and analyze Cannlytics Strain API data via MCP.",
        backstory="Expert analyst with direct Cannlytics Strain API access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Cannlytics Strain API transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 CrewAI

Yes. A 'Searcher' agent can use `search_strains` to get a broad list. A 'Flavor' agent would then use `get_flavors` on each result, filtering for the ones you want. A final 'Compiler' agent could format the filtered list.

CrewAI handles this with its shared context. When Agent A calls `get_strain`, the resulting strain data is available in the context. Agent B can then access that object for its own tasks, like calling `get_effects` on it.

For anything beyond a simple script, use `MCPServerHTTP` from `crewai.mcp`. This lets you use `tool_filter` to assign specific Cannlytics tools to specific agents. It makes your crew more organized and efficient.

Definitely. Set up a 'Monitor' agent that runs on a schedule. It can use `search_strains` and compare the results to a previous run. If it finds new strains, it delegates the analysis to other specialist agents in the crew.

Yes. The communication between your agents and the Cannlytics tools happens over a secure connection managed by Vinkius. The shared context between your CrewAI agents is all within your own system. Vinkius ensures the MCP Server itself is isolated and ephemeral.

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