How to Use the Cannlytics Strain API MCP in Mastra AI

Q: How would I build a Mastra AI agent that finds relaxing strains using the Cannlytics Strain API?

Your agent would use searchstrains, then iterate through the results. For each one, it would call geteffects and use Mastra's conditional logic to check if 'relaxing' is in the list of effects.

Q: What happens if a strain I search for doesn't exist?

The getstrain tool will return an empty or error response. Your Mastra AI agent can catch this and branch its logic. You can have it log the missing strain name and move on to the next one without crashing the whole process.

Automate your cannabis data workflows with Mastra AI. Connect to this MCP Server to fetch, compare, and analyze strain data.

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Connect Cannlytics Strain API MCP to Mastra AI

Create your Vinkius account to connect Cannlytics Strain API to Mastra 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 Mastra AI

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Build Resilient Data Pipelines

Use Mastra AI to build workflows that don't quit. Your agent can `search_strains` for a list of targets, then loop through the results to `get_strain` details for each one. If the Cannlytics API has a hiccup on one of the calls, Mastra's automatic retries with exponential backoff kick in. You don't have to write that logic yourself. Your data pipeline just works.

Conditional Logic for Strain Analysis with Mastra AI

This is where Mastra shines. Your agent can fetch a strain with `get_strain`, check its effects with `get_effects`, and then decide what to do next based on the results. For example: IF a strain has 'relaxing' effects, THEN find similar strains with `get_similar_strains` and add them to a database. This kind of conditional, multi-step logic is what Mastra was built for.

Create Complex Strain Comparisons

Don't just fetch data, act on it. You can build a Mastra agent that takes two strain names, calls `get_flavors` for both, and then programmatically compares their flavor profiles. This MCP Server provides the raw data points. Mastra AI gives you the workflow engine to turn that data into a real, automated process. Deploy it with one command and you have a new internal tool.

Setup guide

Set up Cannlytics Strain API MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Cannlytics Strain API tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cannlytics-strain-api-mcp-client",
  servers: {
    "cannlytics-strain-api-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Cannlytics Strain API Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Cannlytics Strain API tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Cannlytics Strain API transactions"
);
console.log(result.text);

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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 Mastra AI

Your agent would use `search_strains`, then iterate through the results. For each one, it would call `get_effects` and use Mastra's conditional logic to check if 'relaxing' is in the list of effects.

Yes, automatically. Mastra AI has built-in retry mechanisms. If a call to `get_strain` fails, it will retry with backoff, which makes your automation much more reliable than a simple script.

Absolutely. You'd define a workflow where the first steps are two parallel calls to `get_strain`. The next step would use the output from both to run a comparison, maybe checking for overlapping flavors with `get_flavors`.

The `get_strain` tool will return an empty or error response. Your Mastra AI agent can catch this and branch its logic. You can have it log the missing strain name and move on to the next one without crashing the whole process.

Only your Mastra agent. Vinkius provides the secure, sandboxed MCP Server connection. The Cannlytics server processes the request, but the strain data flowing through your workflow is contained within your own environment.

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