Otreeba Cannabis API MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Otreeba Cannabis API through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Otreeba Cannabis API, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Otreeba Cannabis API MCP Server
Connect Otreeba to any AI agent and access open, verified cannabis data -- search strains, get lab results (THC, CBD, terpenes), and explore cannabis brands through natural conversation.
The Vercel AI SDK gives every Otreeba Cannabis API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Strain Search -- Find cannabis strains by name, effects, or keywords
- Lab Data -- Retrieve cannabinoid and terpene profiles for flower and oils
- Brand Directory -- List and inspect cannabis producers and brands
The Otreeba Cannabis API MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Otreeba Cannabis API to Vercel AI SDK via MCP
Follow these steps to integrate the Otreeba Cannabis API MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from Otreeba Cannabis API and passes them to the LLM
Why Use Vercel AI SDK with the Otreeba Cannabis API MCP Server
Vercel AI SDK provides unique advantages when paired with Otreeba Cannabis API through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Otreeba Cannabis API integration everywhere
Built-in streaming UI primitives let you display Otreeba Cannabis API tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Otreeba Cannabis API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Otreeba Cannabis API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Otreeba Cannabis API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Otreeba Cannabis API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Otreeba Cannabis API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Otreeba Cannabis API through natural language queries
Otreeba Cannabis API MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Otreeba Cannabis API to Vercel AI SDK via MCP:
get_brand
Get details for a specific cannabis brand
get_flower_lab_data
) and terpene data for a specific strain. Get lab test results for cannabis flower
get_oil_lab_data
Get lab test results for cannabis oil/extracts
get_strain
Get full details for a specific cannabis strain
list_brands
List all cannabis brands available in Otreeba
search_strains
Use this to discover available strains in the Otreeba database. Search for cannabis strains by name or keyword
Example Prompts for Otreeba Cannabis API in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Otreeba Cannabis API immediately.
"Search for Indica strains that help with sleep."
"Get the lab data for Blue Dream flower."
"List all cannabis brands in the database."
Troubleshooting Otreeba Cannabis API MCP Server with Vercel AI SDK
Common issues when connecting Otreeba Cannabis API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOtreeba Cannabis API + Vercel AI SDK FAQ
Common questions about integrating Otreeba Cannabis API MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Otreeba Cannabis API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Otreeba Cannabis API to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.