How to Use the Cannlytics Strain API MCP in Claude Code

Q: How do I configure the Cannlytics Strain API for Claude Code?

Run claude mcp add --transport http -- . Make sure all flags come before the server name. Use claude mcp list to verify the connection.

Pipe live cannabis strain data directly into your terminal or CI/CD pipelines with Claude Code.

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Connect Cannlytics Strain API MCP to Claude Code

Create your Vinkius account to connect Cannlytics Strain API to Claude Code 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 Claude Code

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Automate Data Extraction in the Terminal

The `search_strains` tool queries the Cannlytics database by name or keyword straight from your command line. You trigger a headless script, and the agent pulls down the matching identifiers. You use this to automate catalog updates. The CLI runs the search, grabs the results, and pipes the output into your next shell command.

Fetch Profiles via Claude Code

The `get_effects` tool retrieves reported impacts, and the `get_flavors` tool pulls the taste profile for a specific strain. Your automated jobs hit these endpoints to sync external databases on a cron schedule. There is no GUI to slow you down. The agent executes the tools asynchronously, formats the raw JSON, and writes it directly to your server logs or data warehouse.

Script Similar Strains with this MCP Server

The `get_similar_strains` tool finds related cannabis varieties to keep your recommendation models updated. You run a single command, and the agent fetches the entire matrix of related cultivars. When deeper inspection is required, the `get_strain` tool extracts the full specification. Running this as an MCP integration means your headless environments always have access to fresh botanical data.

Setup guide

Set up Cannlytics Strain API MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see cannlytics-strain-api-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Cannlytics Strain API transactions." It will automatically discover and invoke the available Cannlytics Strain API tools.

Terminal

claude mcp add --transport http cannlytics-strain-api-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Cannlytics Strain API MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "cannlytics-strain-api-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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 Claude Code

Run `claude mcp add --transport http -- `. Make sure all flags come before the server name. Use `claude mcp list` to verify the connection.

Set up the CLI in your workflow file. The agent executes the tools headlessly and commits the updated JSON data back to your repository.

The agent reads the HTTP headers from the server response. If it hits a limit, it backs off and retries the request automatically.

The CLI outputs standard text or JSON. You pipe the results directly into jq, grep, or any custom bash script you maintain.

The managed infrastructure relies on ephemeral instances. The specific botanical names and flavor profiles you query exist only for the duration of the request before the sandbox is wiped clean.

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