Freshworks MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Freshworks 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 Freshworks, 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 Freshworks MCP Server
Connect your Freshworks account to any AI agent and take full control of your unified sales CRM and customer support workflows through natural conversation.
The Vercel AI SDK gives every Freshworks tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Unified Ticket Orchestration — Retrieve the global array of all active helpdesk tickets and fetch sub-entry details to view full customer interactions natively
- Sales Pipeline Auditing — Extract explicit Deal pipeline records tracking ongoing sales cycles and revenue forecasts inside the Freshworks CRM
- Account & Company Management — Identify and manage hierarchical organization records, binding multiple contacts and verifying sales accounts limitlessly
- CRM Contact Oversight — Enumerate end-users recorded in the Sales CRM partition and retrieve their profiles and historical interaction metadata synchronousy
- Helpdesk Contact Navigation — List official support contacts registered in the Helpdesk partition, linking service histories and previous ticket profiles flawlessy
- Agent & Group Management — Identify connected support agents and audit agent grouping configurations handling specific support queues securely
- Sales Intelligence — Retrieve detailed metrics for sales accounts and deals to monitor your business growth and customer lifecycle stages natively
The Freshworks MCP Server exposes 9 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 Freshworks to Vercel AI SDK via MCP
Follow these steps to integrate the Freshworks 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 9 tools from Freshworks and passes them to the LLM
Why Use Vercel AI SDK with the Freshworks MCP Server
Vercel AI SDK provides unique advantages when paired with Freshworks 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 Freshworks integration everywhere
Built-in streaming UI primitives let you display Freshworks 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
Freshworks + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Freshworks MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Freshworks in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Freshworks tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Freshworks capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Freshworks through natural language queries
Freshworks MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Freshworks to Vercel AI SDK via MCP:
get_ticket
Get ticket details
list_accounts
List all sales accounts
list_agents
List all support agents
list_companies
List all companies
list_crm_contacts
List CRM contacts
list_deals
List all sales deals
list_groups
List all agent groups
list_helpdesk_contacts
List helpdesk contacts
list_tickets
List all helpdesk tickets
Example Prompts for Freshworks in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Freshworks immediately.
"Show me my active sales deals in Freshworks"
"List the last 3 support tickets"
"Find CRM contact 'John Smith'"
Troubleshooting Freshworks MCP Server with Vercel AI SDK
Common issues when connecting Freshworks to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFreshworks + Vercel AI SDK FAQ
Common questions about integrating Freshworks 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 Freshworks 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 Freshworks to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.