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How to Use the CometChat MCP in OpenAI Agents SDK

Manage CometChat users and groups directly inside your OpenAI Agents SDK production pipeline.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect CometChat MCP to OpenAI Agents SDK

Create your Vinkius account to connect CometChat to OpenAI Agents 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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Automate CometChat user lifecycle management

Trigger `create_user` or `deactivate_user` directly from your agent logic. This ensures your production environment stays clean without manual database entries. Your OpenAI Agents SDK pipeline handles the heavy lifting. It executes these actions within the safety guardrails you defined for your agent system.

Programmatic group control for OpenAI Agents SDK

Use `create_group` and `get_group_details` to manage your communication channels. Agents pull current state from CometChat to make informed routing decisions. This MCP server provides the hooks needed for dynamic channel creation. Your agent stays synchronized with your chat infrastructure at all times.

Direct message handling in OpenAI Agents SDK

The `send_message` and `list_messages` tools let your agents participate in conversations. It turns your agent into an active member of your chat ecosystem. Tracing every message through the OpenAI dashboard remains simple. You get full visibility into how your agent interacts with users.

Setup guide

Set up CometChat MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all CometChat tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives CometChat tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate CometChat tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="CometChat Agent",
            instructions="You have access to CometChat tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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

Real-time monitoring

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CometChat MCP in OpenAI Agents SDK

Install the necessary packages and instantiate the MCPServerStreamableHttp class. Pass this object into your agent constructor to let the SDK auto-discover all available tools.
Yes, your agent uses `list_messages` to pull chat logs. It processes this text locally to inform its next response.
Absolutely. Set cacheToolsList to true in your configuration to speed up tool discovery. This keeps your agent responsive during high-volume operations.
The server returns a standard error code that bubbles up to your agent. You can then write logic to retry the request or log the failure.
We isolate your CometChat credentials within the Vinkius sandbox. Only the specific user identity and message payloads you authorize ever reach your agent.

Start using the CometChat MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for CometChat. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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