Front MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Get Api Status, Get Contact Info, Get Conversation Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Front through 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 App Connector for Vercel AI SDK
The Front app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Front, 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 Front MCP Server
Connect your Front account to any AI agent and take full control of your team's customer communication and shared inbox workflows through natural conversation.
The Vercel AI SDK gives every Front 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
- Conversation Orchestration — List and manage customer conversations programmatically, including updating statuses (open, archived, spam) and assigning teammates
- Message Intelligence — Retrieve complete message histories and metadata for any conversation to perform deep analysis and sentiment tracking
- Omnichannel Support — Monitor multiple communication streams including Email, Chat, and SMS from a single unified AI interface
- Team Collaboration — Manage team contacts and retrieve teammate profiles to coordinate internal routing and workload distribution
- Operational Visibility — Get a comprehensive overview of shared inboxes and active channels using natural language commands
The Front 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.
All 12 Front tools available for Vercel AI SDK
When Vercel AI SDK connects to Front through Vinkius, your AI agent gets direct access to every tool listed below — spanning shared-inbox, team-collaboration, email-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check connection
Get contact details
Get conversation info
Read message details
). List communication channels
Get message history
List team conversations
List team inboxes
List your contacts
Send a message
Find conversations
Modify conversation
Connect Front to Vercel AI SDK via MCP
Follow these steps to wire Front into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Front MCP Server
Vercel AI SDK provides unique advantages when paired with Front 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 Front integration everywhere
Built-in streaming UI primitives let you display Front 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
Front + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Front MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Front in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Front tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Front capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Front through natural language queries
Example Prompts for Front in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Front immediately.
"List all open conversations in my shared inbox."
"Show me the message history for conversation 'cnv_123'."
"Reply to conversation 'cnv_123' saying 'I will check that for you right now'."
Troubleshooting Front MCP Server with Vercel AI SDK
Common issues when connecting Front to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFront + Vercel AI SDK FAQ
Common questions about integrating Front 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.