How do I get my Help Scout Access Token?

You can generate an OAuth2 Access Token by creating an application in the **Help Scout Developer Portal** (developer.helpscout.com). Alternatively, if you are using a personal script, you can use the Client Credentials flow to obtain a token.

Can I add internal notes to conversations?

Yes! Use the `create_convo_note` tool. You must provide the `conversation_id` and the text of your note. This allows you to collaborate with your team without the customer seeing the message.

How do I change the status of a support thread?

Use the `update_convo_status` tool. Provide the conversation ID and the new status (active, pending, or closed). This helps you keep your mailbox organized.

Is the integration secure for managing support data?

Absolutely. The integration uses industry-standard OAuth 2.0 Bearer tokens over HTTPS. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

Help Scout MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Name: Help Scout
Availability: InStock
Author: Vinkius

ai-sdk.dev/docs/ai-sdk-core/mcp

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Help Scout through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

typescript

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 Help Scout, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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About Help Scout MCP Server

Connect your Help Scout help desk to any AI agent and take full control of your customer communication and support operations through natural conversation.

The Vercel AI SDK gives every Help Scout 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 Oversight — List all active support threads, retrieve full transcripts, and monitor response status.
Customer Management — Access detailed customer profiles and historical interactions to provide personalized service.
Team Collaboration — Add internal notes to conversations and update statuses (active, pending, closed) directly from the chat.
Operational Visibility — List all configured mailboxes, tags, and automated workflows to ensure your help desk is correctly set up.
Performance Insights — Retrieve customer satisfaction ratings to monitor the health of your support operations.
Search Capabilities — Perform advanced searches across your entire conversation history to find answers quickly.

The Help Scout 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 Help Scout to Vercel AI SDK via MCP

Follow these steps to integrate the Help Scout 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 Help Scout and passes them to the LLM

Why Use Vercel AI SDK with the Help Scout MCP Server

Vercel AI SDK provides unique advantages when paired with Help Scout 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 Help Scout integration everywhere

Built-in streaming UI primitives let you display Help Scout 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

Help Scout + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Help Scout MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Help Scout in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Help Scout tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Help Scout capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Help Scout through natural language queries

Help Scout MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Help Scout to Vercel AI SDK via MCP:

create_convo_note

Use this for team collaboration. Add a private note to a conversation

get_conversation

Get detailed information about a specific conversation

get_customer

Get detailed profile information for a specific customer

list_conversations

Useful for monitoring incoming customer queries. List support conversations/tickets

list_customer_ratings

List recent customer satisfaction ratings

list_customers

List all customers registered in the help desk

list_mailboxes

List all configured support mailboxes

list_staff_users

List all support agents/users in the tenant

list_tags

List all available tags for categorizing conversations

list_workflows

List automated support workflows

search_conversations

Search for conversations using a query

update_convo_status

Change the status of a conversation (e.g., active, closed)

Example Prompts for Help Scout in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Help Scout immediately.

"List all active conversations in the 'Main' mailbox."

"Search for conversations from 'john.doe@example.com'."

"Add an internal note to conversation ID 12345: 'Confirmed with engineering, fix arriving tomorrow'."

Troubleshooting Help Scout MCP Server with Vercel AI SDK

Common issues when connecting Help Scout to Vercel AI SDK through the Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Help Scout + Vercel AI SDK FAQ

Common questions about integrating Help Scout MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.