How to Use the Trefle MCP in Mastra AI
Build complex botanical workflows with Trefle on Mastra AI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Trefle MCP to Mastra AI
Create your Vinkius account to connect Trefle 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.
Get Specific Plant Details
The `get_plant` tool retrieves full details for a single, specific plant. You pass the name, and your agent returns all associated data points. This is ideal when your workflow needs to pull concrete facts about one item. It's designed for multi-step processes: find out what you need, then use that fact in the next step of your automated routine.
Search and Correct Taxonomy Records
If a species entry is wrong, don't stop the workflow. You can automatically route data through `report_species_error` or `submit_species_correction`. These tools allow your Mastra AI agent to handle necessary database upkeep. Or, if you just need information, use `search_plants` or `search_species` to quickly find records across the entire database.
Map Global Plant Distribution
Need to know what grows where? The `get_distribution_plants` tool filters the world's data by a zone. You specify criteria, like filtering for 'native' life forms, and get the results. This capability is perfect for complex conditional branching: IF the user specifies Zone X, THEN check which native plants are found there.
Set up Trefle MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. 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'stoolsobject. All Trefle tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "trefle-mcp-client",
servers: {
"trefle-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Trefle Agent",
model: openai("gpt-4o"),
instructions: "You have access to Trefle tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Trefle transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Trefle. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Trefle MCP in Mastra AI
Use it with your favorite AI tools
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