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How to Use the Freshservice MCP in Vercel AI SDK

Stream Freshservice IT ticket data directly into your React components in real-time with the Vercel AI SDK.

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…and any MCP-compatible client

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Vercel AI SDK

Connect Freshservice MCP to Vercel AI SDK

Create your Vinkius account to connect Freshservice 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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Real-time ticket feeds for Vercel AI SDK frontends

The `list_itsm_tickets` tool lets your agent pull active IT issues and stream them straight to your Next.js UI. Instead of waiting for a slow helpdesk API response, your users watch the Freshservice ticket queue populate line by line in their browser. You pair this with `get_ticket_details` to let users click any incident and instantly render its lifecycle metadata. This setup runs entirely on Edge Functions, keeping your Freshservice interface fast without spinning up heavy backend servers.

Instant asset verification inside React dashboards

The `list_it_assets` tool connects your Next.js frontend directly to your hardware registry to list active machines. Your Vercel AI SDK agent pulls the live inventory list and displays it in a clean UI component while the stream is active. When an agent needs more context, `get_asset_details` retrieves the specific serial numbers and deployment history. You get zero-latency rendering because the Vercel AI SDK handles the Freshservice data stream chunk by chunk.

Interactive ticket creation without loading spinners

The `create_itsm_ticket` tool allows your users to draft and submit IT issues directly from your Vercel AI SDK chat interface. Your streaming agent processes the input, triggers the ticket creation, and displays the confirmation status instantly. By combining this with `check_itsm_status`, the React UI updates the helpdesk connection state live. Users see exactly when the Freshservice ticket lands in the queue without staring at a blank loading screen.

Setup guide

Set up Freshservice 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Freshservice transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Freshservice. 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.

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Common questions about Freshservice MCP in Vercel AI SDK

Use the `list_itsm_tickets` tool inside your `streamText` function. The Vercel AI SDK handles the HTTP transport from this MCP Server, pushing ticket records directly to your frontend components as they load.
Yes. Your Vercel AI SDK agent calls `list_support_agents` to retrieve the active roster and presents the list directly in the chat interface. This keeps the user updated during routing without requiring page refreshes.
The server uses `get_requester_details` to pull user information on demand. The Vercel AI SDK streams the user's contact information and history directly into your custom agent dashboard.
Pass `list_change_requests` into the `tools` parameter of your Vercel AI SDK text generator. Close the client with `mcpClient.close()` once the stream finishes to prevent memory leaks on your Edge Functions.
Yes. This integration only touches your ticket metadata and requester details through a secure, isolated V8 sandbox on Vinkius. Your API keys are encrypted, and no ticket data is stored on our servers after the stream ends.

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