Flowcode MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Flowcode 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 Flowcode, 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 Flowcode MCP Server
Connect your Flowcode account to any AI agent and automate your offline-to-online marketing through the Model Context Protocol (MCP). Flowcode is the leading platform for dynamic QR codes and conversion-optimized landing pages (Flowpages). Now, you can create new codes, monitor scan performance, and retrieve deep audience analytics directly through natural conversation.
The Vercel AI SDK gives every Flowcode tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Dynamic QR Management — List all your Flowcodes, fetch detailed metadata, and create new dynamic codes with instant redirect capabilities.
- Scan Analytics — Monitor real-time scan performance, conversion rates, and detailed scan activity logs to optimize your campaigns.
- Flowpage Oversight — Retrieve real-time event data for your landing pages and access CRM contact information submitted via Flowpage forms.
- Audience Insights — Fetch aggregate demographic and geographic analytics to understand where and how your audience is engaging.
- Asset Organization — List campaigns and asset folders to maintain a clear structure across your marketing projects.
- Image Generation — Retrieve specific Flowcode image data or download links directly from the agent.
- Custom Conversions — Track conversion rates from scan to visit to ensure your marketing funnel is performing optimally.
The Flowcode MCP Server exposes 12 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 Flowcode to Vercel AI SDK via MCP
Follow these steps to integrate the Flowcode 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 12 tools from Flowcode and passes them to the LLM
Why Use Vercel AI SDK with the Flowcode MCP Server
Vercel AI SDK provides unique advantages when paired with Flowcode 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 Flowcode integration everywhere
Built-in streaming UI primitives let you display Flowcode 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
Flowcode + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Flowcode MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Flowcode in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Flowcode tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Flowcode capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Flowcode through natural language queries
Flowcode MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Flowcode to Vercel AI SDK via MCP:
create_flowcode
Create a dynamic QR code
get_audience_summary
Get audience demographics
get_flowcode
Get Flowcode details
get_flowcode_image
Generate QR code image
get_flowpage_analytics
Get landing page events
get_flowpage_contacts
Get CRM contacts
get_geographic_analytics
Get scan locations
get_recent_scans
List scan activity log
list_campaigns
List marketing campaigns
list_conversion_rates
Get funnel analytics
list_flowcodes
List all Flowcodes
list_folders
List asset folders
Example Prompts for Flowcode in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Flowcode immediately.
"List my 10 most recent Flowcodes and their scan counts."
"Create a new Flowcode named 'Store Launch' redirecting to 'https://vinkius.com'."
"Show me the audience demographic summary for my account."
Troubleshooting Flowcode MCP Server with Vercel AI SDK
Common issues when connecting Flowcode to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFlowcode + Vercel AI SDK FAQ
Common questions about integrating Flowcode 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 Flowcode 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.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Flowcode to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.