How to Use the Trefle MCP in Vercel AI SDK
Access the world's largest botanical database with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Trefle MCP to Vercel AI SDK
Create your Vinkius account to connect Trefle to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Stream Plant Distribution Data
The `get_distribution_plants` tool lets you filter plants by a specific zone. You pass query parameters, like targeting only 'native' establishments, and get a list of what grows there. This means your AI client can pinpoint exactly which species are native to a region without needing manual database queries or complex API calls.
Search for Specific Plants
Need details on one plant? The `get_plant` tool fetches specific information using the plant name. This is fast and direct, giving you data about a known species. Alternatively, if you only know the genus or want to list everything, use `list_plants`. It keeps things clean by excluding varieties and subspecies.
Manage Species Data Corrections
If the botanical records are wrong, you don't have to call a database admin. The system offers tools like `report_species_error` or `submit_species_correction`. You just pass the necessary data points through your agent. This workflow handles quality control right in the chat flow—the user tells the AI client what's wrong, and it submits the correction using these specific endpoints.
Set up Trefle MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Trefle tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Trefle transactions",
});
console.log(text);
await mcpClient.close(); 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 Vercel AI SDK
Use it with your favorite AI tools
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