How to Use the Trefle MCP in Claude Code

Q: How do I use Trefle with Claude Code to get species details?

You write a command that calls getspecies and pipes the output. This works in headless mode, so you can feed those raw data records directly into another utility or logging service.

Q: Can I use Trefle to map distribution zones via Claude Code?

Yes. You can script a flow that first calls listdistributions and then iterates over the results using getdistributionplants. This makes it ideal for automated reporting scripts.

Q: Is Trefle useful for maintaining data quality with Claude Code?

Absolutely. You can create a maintenance script that calls listspecies to check records and then uses reportspecieserror or submitspeciescorrection in sequence.

Run botanical data pipelines and scripts with Claude Code in your terminal.

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Setup Trefle with Claude Code

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Scripting Plant Data Searches

Need to check thousands of records? Your script calls `search_plants` or `search_species` via the MCP connection. It pulls a list, pipes it into another command, and processes the output in shell scripting. This is perfect for cron jobs that run nightly data audits across multiple botanical categories.

Automated Distribution Reporting

Build CI/CD steps to check geographical coverage. A script can call `list_distributions` first, then loop through the zones using `get_distribution_plants`. The result is piped directly to a log file. It gives you verifiable output proving which establishments are covered in a given zone.

Data Integrity & Correction Pipelines

Run scheduled tasks that audit data quality. A script can pull all records using `list_species`, then check for inconsistencies, and finally execute the correction tool, `submit_species_correction`. This ensures your botanical database remains accurate without needing a GUI or manual input.

Setup guide

Set up Trefle 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 trefle-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http trefle-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 Trefle 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": {
    "trefle-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Trefle MCP in Claude Code

You write a command that calls `get_species` and pipes the output. This works in headless mode, so you can feed those raw data records directly into another utility or logging service.

Yes. You can script a flow that first calls `list_distributions` and then iterates over the results using `get_distribution_plants`. This makes it ideal for automated reporting scripts.

Trefle provides structured botanical information: plant species, genera, varieties, and distribution zone metadata. Your scripts operate on these plain text outputs.

Absolutely. You can create a maintenance script that calls `list_species` to check records and then uses `report_species_error` or `submit_species_correction` in sequence.

You can programmatically access the entire hierarchy. For instance, listing all genera using `list_genera`, and then scripting subsequent calls to get details for each one.

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