UnifyApps 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 UnifyApps 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 UnifyApps, 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 UnifyApps MCP Server
Connect your UnifyApps hub to any AI agent and take fully autonomous control over mapping internal automation flows, scanning linked platform connections, and managing global workflow status directly inside chat.
The Vercel AI SDK gives every UnifyApps 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
- Integration Surveillance — Query your entire UnifyApps instance grabbing all unique application components internally coupled safely by
list_integrations - Execution Telemetry — Monitor active running instances calling down recent success/failure run history across multiple automation triggers sequentially
- Flow Mapping (SaaS) — Extract an overarching view verifying how dozens of separate flows are mapped without navigating nested visual menus
- Agent Configuration — Scan and list configured AI agent systems currently plugged into your orchestration environment continuously
The UnifyApps 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 UnifyApps to Vercel AI SDK via MCP
Follow these steps to integrate the UnifyApps 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 UnifyApps and passes them to the LLM
Why Use Vercel AI SDK with the UnifyApps MCP Server
Vercel AI SDK provides unique advantages when paired with UnifyApps 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 UnifyApps integration everywhere
Built-in streaming UI primitives let you display UnifyApps 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
UnifyApps + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the UnifyApps MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query UnifyApps in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate UnifyApps tools and return structured JSON responses to any frontend
Chatbots with tool use: embed UnifyApps capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with UnifyApps through natural language queries
UnifyApps MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect UnifyApps to Vercel AI SDK via MCP:
get_integration_details
Retrieves details for a specific integration
list_active_connections
Lists active account connections
list_ai_agents
Lists configured AI agents in the UnifyApps environment
list_automation_flows
Lists all automation flows defined in the platform
list_flow_executions
Lists recent execution history for automation flows
list_integrations
Lists all configured integrations in UnifyApps
Example Prompts for UnifyApps in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with UnifyApps immediately.
"List all active integration configurations built within our system environment."
"Isolate execution logs for our overarching flows specifically looking out for the most recent actions resolving internally."
"Can you check the details of integration connection ID int_99xx1 to see if its credentials are fully configured?"
Troubleshooting UnifyApps MCP Server with Vercel AI SDK
Common issues when connecting UnifyApps to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUnifyApps + Vercel AI SDK FAQ
Common questions about integrating UnifyApps 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 UnifyApps 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 UnifyApps to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.