How to Use the Freshworks MCP in Vercel AI SDK

Q: How secure is my CRM contact data when using this server?

When your agent runs listcrmcontacts, the payload stays strictly within the V8 Isolate Sandbox. Vinkius spins up an ephemeral environment for the request and destroys it immediately after the data returns. Nothing persists in memory.

Build live customer support dashboards in React using the Freshworks Vercel AI SDK integration.

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…and any MCP-compatible client

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Connect Freshworks MCP to Vercel AI SDK

Create your Vinkius account to connect Freshworks to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Freshworks with Vercel AI SDK

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Stream live ticket data through the MCP Server

Your `list_tickets` and `get_ticket` tools pull helpdesk queues directly into your Next.js frontend. You don't have to wait for a full payload to render the UI. The Vercel AI SDK streams the ticket status and priority straight into your React components as the LLM processes them. Users see the support queue populate instantly. You can combine this with `list_agents` to show exactly who is online and handling which issues. No loading spinners, just immediate context.

Render CRM contacts in real-time

The `list_crm_contacts` tool fetches your sales database while the agent streams the response to the user. When a customer asks about an account, the Vercel AI SDK hits the MCP Server endpoint and pipes the exact contact details into your Svelte or Vue interface. You can cross-reference this with `list_helpdesk_contacts` to see if a sales lead also has open support issues. Live streaming means your sales reps get the full picture before the AI even finishes typing its analysis.

Surface deal pipelines instantly

Expose your active sales pipeline to your custom AI application with the `list_deals` and `list_accounts` tools. Instead of building complex polling logic, you just pass the tools to the streamText function. The AI grabs the deal sizes and stages on the fly. Pair this with `list_companies` to build a live dashboard of high-value accounts. The user asks for a pipeline update, and the data appears on their screen instantly.

Setup guide

Set up Freshworks MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Freshworks tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Freshworks transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Freshworks. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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place for every integration

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Common questions about Freshworks MCP in Vercel AI SDK

Install @ai-sdk/mcp and initialize with createMCPClient. Point the HTTP transport URL to your Vinkius endpoint. Call mcpClient.tools() and pass the result to your streamText function.

Yes. The integration handles the tool execution and streams the output from get_ticket directly to your frontend components. Users see the text and data chunks arrive in real-time.

The HTTP transport is fully compatible with Edge runtimes. You can run the MCP client in your Next.js API routes without cold boot delays.

Pass an authProvider configuration when setting up your transport. Vinkius handles the underlying token exchange so your AI client just needs the single endpoint token.

When your agent runs list_crm_contacts, the payload stays strictly within the V8 Isolate Sandbox. Vinkius spins up an ephemeral environment for the request and destroys it immediately after the data returns. Nothing persists in memory.

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