FlowUs MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FlowUs 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 FlowUs, 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 FlowUs MCP Server
Empower your AI agent to orchestrate your knowledge base with FlowUs, the versatile collaboration platform for modern individuals and teams. By connecting FlowUs to your agent, you transform complex page organization and database management into a natural conversation. Your agent can instantly list your pages, retrieve block-level content, manage multi-dimensional databases, and even create new entries without you needing to navigate the complex web interface. Whether you are managing personal notes, project documentation, or shared team databases, your agent acts as a real-time knowledge assistant, keeping your workspace organized and your information accessible.
The Vercel AI SDK gives every FlowUs tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Page Orchestration — List all accessible pages and retrieve detailed metadata about your workspace structure.
- Block Management — Browse content blocks within pages to access text and media information instantly.
- Database Control — Manage multi-dimensional tables (databases) with full support for querying and creating new rows.
- Workspace Organization — Create and update pages to maintain a clean and structured knowledge base.
- Team Coordination — Access workspace user lists to manage participation and collaboration effectively.
The FlowUs MCP Server exposes 10 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 FlowUs to Vercel AI SDK via MCP
Follow these steps to integrate the FlowUs 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 10 tools from FlowUs and passes them to the LLM
Why Use Vercel AI SDK with the FlowUs MCP Server
Vercel AI SDK provides unique advantages when paired with FlowUs 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 FlowUs integration everywhere
Built-in streaming UI primitives let you display FlowUs 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
FlowUs + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FlowUs MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FlowUs in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FlowUs tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FlowUs capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FlowUs through natural language queries
FlowUs MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect FlowUs to Vercel AI SDK via MCP:
create_database_row
Add row to database
create_page
Create a new FlowUs page
get_database
Get database schema
get_page
Get page details
list_blocks
) within a specific page. List page blocks
list_databases
List all FlowUs databases
list_pages
List all FlowUs pages
list_users
List workspace users
query_database
Query database rows
update_page
Update an existing page
Example Prompts for FlowUs in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FlowUs immediately.
"List all pages in my FlowUs workspace."
"Query the 'Product Backlog' database for items with 'High' priority."
"Add a new row to the 'User Feedback' database with Name='Renato' and Feedback='Love the AI integration!'."
Troubleshooting FlowUs MCP Server with Vercel AI SDK
Common issues when connecting FlowUs to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFlowUs + Vercel AI SDK FAQ
Common questions about integrating FlowUs 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 FlowUs 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 FlowUs to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.