Portable.io 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 Portable.io through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Portable.io, 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 Portable.io MCP Server
Connect your Portable.io account to your favorite AI agent and take orchestrate your data pipelines through natural language.
The Vercel AI SDK gives every Portable.io tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the 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
- Data Flows — List configured integration flows and view complex mapping details
- Sync Runs — Monitor execution history, track successful row counts, and spot failure logs
- Destinations & Connectors — Retrieve all supported SaaS extractors and targeted data warehouses (like Snowflake or BigQuery)
- Account Status — Check your workspace bounds and execution limits instantly
The Portable.io 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 Portable.io to Vercel AI SDK via MCP
Follow these steps to integrate the Portable.io 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 Portable.io and passes them to the LLM
Why Use Vercel AI SDK with the Portable.io MCP Server
Vercel AI SDK provides unique advantages when paired with Portable.io 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 Portable.io integration everywhere
Built-in streaming UI primitives let you display Portable.io 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
Portable.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Portable.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Portable.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Portable.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Portable.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Portable.io through natural language queries
Portable.io MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Portable.io to Vercel AI SDK via MCP:
get_account
Retrieve the exact workspace and account billing details
get_flow
Get complete configuration details of a specific data flow
list_connectors
List available pre-built API data source connectors
list_destinations
g., Snowflake, BigQuery) currently authorized to receive raw data writes from active flows. List all configured data warehouse destinations
list_flows
List all integration flows configured in Portable
list_runs
List historical execution runs for a specific data flow
Example Prompts for Portable.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Portable.io immediately.
"List all active ETL flows running in my Portable workspace."
"Show the recent runs for flow ID 4087 and tell me if any failed."
"What destinations are currently configured to receive data?"
Troubleshooting Portable.io MCP Server with Vercel AI SDK
Common issues when connecting Portable.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPortable.io + Vercel AI SDK FAQ
Common questions about integrating Portable.io 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 Portable.io 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 Portable.io to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.