Front MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
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.
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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 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 to automate your customer communication and shared inbox workflows through the Model Context Protocol (MCP). Front is a customer operations platform that enables teams to manage shared emails, SMS, and chats collaboratively. This MCP server enables you to track active conversations, assign messages, and fetch thread histories directly 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.
Key Features
- Shared Inbox Management — List all accessible shared inboxes and retrieve the specific conversations routed to them.
- Conversation Tracking — Search and list all customer conversations, checking their current status (open, archived) and assigned owners.
- Message Threading — Fetch the complete message history for any specific conversation to maintain context before replying.
- Collaborative Replies — Draft and send replies to active conversations directly from your chat interface on behalf of a teammate.
- Status Automation — Programmatically update conversation statuses (e.g., archiving resolved issues) to keep inboxes clean.
- Team & Contact Discovery — List all workspace teammates and customer contacts to ensure accurate routing and messaging.
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.
How to Connect Front to Vercel AI SDK via MCP
Follow these steps to integrate the Front 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 12 tools from Front and passes them to the LLM
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
Front MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Front to Vercel AI SDK via MCP:
get_conversation_details
Get conversation metadata
get_inbox_details
Get inbox metadata
list_address_book
List contacts
list_all_conversations
List all conversations
list_conversation_messages
List thread messages
list_inbox_teammates
List Front teammates
list_inbox_threads
List inbox conversations
list_shared_inboxes
List shared inboxes
search_conversations
g. "inbox:inb_123 is:open"). Search all conversations
send_inbox_reply
Send a reply
update_conversation_status
g., archived, open) or assignee of a conversation. Update conversation
verify_api_status
Verify connection
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 shared inboxes in my Front account."
"Search for open conversations in the Support inbox."
"Archive conversation 'cnv_987'."
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.Connect Front 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 Front to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.