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CometChat MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

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

main();
CometChat
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* 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 CometChat MCP Server

Connect your AI assistant to CometChat, the communication platform providing chat, voice, and video capabilities for applications.

The Vercel AI SDK gives every CometChat tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • User Management — List registered users, check online status, and retrieve user profiles.
  • Group Operations — Create, list, and manage chat groups with different privacy settings.
  • Message History — Retrieve conversation histories for users or groups and search past messages.

The CometChat MCP Server exposes 10 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 CometChat to Vercel AI SDK via MCP

Follow these steps to integrate the CometChat MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from CometChat and passes them to the LLM

Why Use Vercel AI SDK with the CometChat MCP Server

Vercel AI SDK provides unique advantages when paired with CometChat through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same CometChat integration everywhere

03

Built-in streaming UI primitives let you display CometChat tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

CometChat + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

CometChat MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect CometChat to Vercel AI SDK via MCP:

01

create_group

Create a new group in CometChat

02

create_user

Create a new user in CometChat

03

deactivate_user

Deactivate a user instead of deleting them

04

delete_user

Permanently delete a user from CometChat

05

get_group_details

Retrieve details of a specific group

06

get_user

Retrieve detailed information about a specific user

07

list_groups

Retrieve a list of groups from CometChat

08

list_messages

Retrieve chat history messages

09

list_users

Retrieve a list of users from CometChat

10

send_message

Send a text message to a user or group

Example Prompts for CometChat in Vercel AI SDK

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

01

"Show me the first 20 users in CometChat."

02

"Create a public group named 'Marketing Team' with GUID 'marketing-team'."

03

"Retrieve the conversation history between users 'alice' and 'bob'."

Troubleshooting CometChat MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

CometChat + Vercel AI SDK FAQ

Common questions about integrating CometChat MCP Server with Vercel AI SDK.

01

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.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect CometChat to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.