Tray.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 Tray.io 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 Tray.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 Tray.io MCP Server
Connect your AI agent exclusively to your Tray.io (or Tray.ai) integration workflows. Bypass cumbersome cloud panels and directly manage automations, integrations, and solutions within a conversational interface. Allow your operations team or architects to audit workflows and supervise massive data transfer nodes organically, checking for health or broken loops in plain text.
The Vercel AI SDK gives every Tray.io 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
- Inventory Verification — Audit all current integration solutions, mapping how data moves inside the entire architectural setup instantly
- Workflow Discovery — Instantly list and read metadata components or current triggers attributed to single active workflows
- Live Monitoring — Investigate the execution history logs on specific workflows to strictly certify which nodes succeeded or crashed during testing
- Component Assessment — Browse global lists of ready-to-use Connectors (like Salesforce, Stripe, Zendesk) directly out of your machine before mapping an integration strategy
- Session Integrity — Ping the core system to evaluate user identity tokens, boundaries, and regional connections to guarantee uptime
The Tray.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 Tray.io to Vercel AI SDK via MCP
Follow these steps to integrate the Tray.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 Tray.io and passes them to the LLM
Why Use Vercel AI SDK with the Tray.io MCP Server
Vercel AI SDK provides unique advantages when paired with Tray.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 Tray.io integration everywhere
Built-in streaming UI primitives let you display Tray.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
Tray.io + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tray.io MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tray.io in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tray.io tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tray.io capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tray.io through natural language queries
Tray.io MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Tray.io to Vercel AI SDK via MCP:
get_authenticated_user
Retrieves details for the currently authenticated user
get_workflow_details
Retrieves details for a specific Tray.io workflow
list_available_connectors
g., Salesforce, Slack) can be integrated. Lists all available service connectors in Tray.io
list_integration_solutions
Lists all solutions (integration templates) in the account
list_workflow_executions
Lists recent execution history for a specific workflow
list_workflows
Lists all workflows in the Tray.io account
Example Prompts for Tray.io in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tray.io immediately.
"List all active workflows in my account right now."
"Can you check the latest execution history for workflow wf-a1b2?"
Troubleshooting Tray.io MCP Server with Vercel AI SDK
Common issues when connecting Tray.io to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTray.io + Vercel AI SDK FAQ
Common questions about integrating Tray.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 Tray.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 Tray.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.