Freshchat 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 Freshchat 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 Freshchat, 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 Freshchat MCP Server
Connect your Freshchat account to any AI agent to automate your customer messaging and conversation management through the Model Context Protocol (MCP). Freshchat is a modern messaging software built for sales and support teams to engage with customers across web, mobile, and social channels. This MCP server enables you to track active chats, send real-time messages, and retrieve detailed user profiles directly through natural conversation.
The Vercel AI SDK gives every Freshchat 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
- Conversation Oversight — List all active chats, fetch detailed conversation metadata, and monitor chat statuses (open, resolved) instantly.
- Real-time Messaging — Post new messages to existing conversations to keep your support workflows moving fast.
- User & Customer Data — Access detailed profile information for chat participants and search for users by email address.
- Support Team Insights — List all support agents and team members to maintain full context of who is online and available.
- Channel & Group Management — Access configured messaging channels and agent groups to understand your routing logic.
- Message History — Retrieve the full message history for any specific conversation ID for audit and reporting.
- Multi-Region Support — Seamlessly connect to your specific Freshchat data center (US, EU, IN, AU).
The Freshchat 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 Freshchat to Vercel AI SDK via MCP
Follow these steps to integrate the Freshchat 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 Freshchat and passes them to the LLM
Why Use Vercel AI SDK with the Freshchat MCP Server
Vercel AI SDK provides unique advantages when paired with Freshchat 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 Freshchat integration everywhere
Built-in streaming UI primitives let you display Freshchat 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
Freshchat + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Freshchat MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Freshchat in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Freshchat tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Freshchat capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Freshchat through natural language queries
Freshchat MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Freshchat to Vercel AI SDK via MCP:
check_account_status
Verify account configuration
get_agent_profile
Get agent metadata
get_chat_user_details
Get user metadata
get_conversation_details
Get chat metadata
list_agent_groups
List agent groups
list_chat_channels
List chat channels
list_chat_messages
List messages in a chat
list_chat_users
List chat participants
list_conversations
List active chats
list_support_agents
List support agents
search_chat_users
Find user by email
send_chat_message
Post a new message
Example Prompts for Freshchat in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Freshchat immediately.
"List all open conversations in my Freshchat account."
"Find the Freshchat user with the email 'customer@example.com'."
"Send a message to conversation 'conv_987': 'I am looking into this for you'."
Troubleshooting Freshchat MCP Server with Vercel AI SDK
Common issues when connecting Freshchat to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFreshchat + Vercel AI SDK FAQ
Common questions about integrating Freshchat 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 Freshchat 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 Freshchat to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.