How to Use the CometChat MCP in OpenAI Agents SDK
Manage CometChat users and groups directly inside your OpenAI Agents SDK production pipeline.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up CometChat MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives CometChat tools as native definitions — JSON schemas resolve automatically. - 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.
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
Use it with your favorite AI tools
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