How to Use the Weiban Assistant MCP in OpenAI Agents SDK

Q: What if I need historical chat data with Weiban Assistant and OpenAI Agents SDK?

You can list past conversations using listchatrecords. The agent pulls this history, giving it the context it needs. This means any reply generated is accurate based on what was said before.

Q: Does Weiban Assistant and OpenAI Agents SDK help manage staff info?

Yep. You can list all organization staff using liststaff, or check specific performance data with getstaffstats. It keeps your team insights right where you need them.

Q: Can Weiban Assistant and OpenAI Agents SDK handle multiple types of customers?

Absolutely. The server lets you list general contacts with listcustomers, or focus only on sales prospects by running listleads. It separates your customer base cleanly.

Weiban Assistant for OpenAI Agents SDK: Manage all your client messaging and sales records with guarded automation.

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Connect Weiban Assistant MCP to OpenAI Agents SDK

Create your Vinkius account to connect Weiban Assistant 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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Setup Weiban Assistant with OpenAI Agents SDK

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Getting Organization Status with MCP Server

The `get_org_summary` tool gives you a quick snapshot of organization activity. You don't have to jump between dashboards; your agent pulls the key metrics right into the workflow, letting you know what's happening across departments. It also lets your agent check out staff behavior statistics using `get_staff_stats`. This means you can monitor team activity and identify bottlenecks without writing custom reporting scripts.

Managing Sales Leads with OpenAI Agents SDK

`create_lead` handles the initial capture of new leads. When a potential client comes through, your agent automatically logs them into the system. You can then follow up by listing existing opportunities using `list_leads`, keeping your sales cycle moving. Need to see who you're talking to? Use `get_customer_details` to pull a full profile on any contact, ensuring your next communication is highly personalized.

Reviewing Customer Chats with MCP Server

`list_chat_records` pulls the entire history of conversations. This tool gives your agent access to every message sent, letting it understand context before drafting a reply. You can also list all available chats using `list_group_chats`, so nothing gets missed. Furthermore, if you need to know who's in the group, run `get_group_chat` to pull member details. It’s fast and reliable for your production agents.

Setup guide

Set up Weiban Assistant 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

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

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 Weiban Assistant tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Weiban Assistant tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Weiban Assistant 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="Weiban Assistant Agent",
            instructions="You have access to Weiban Assistant tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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

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Common questions about Weiban Assistant MCP in OpenAI Agents SDK

Your agent handles the whole process. You just define the goal, like 'create a lead for X company.' The MCP Server takes over, executing the necessary calls—like `create_lead`—and feeding the results back to your workflow.

You can list past conversations using `list_chat_records`. The agent pulls this history, giving it the context it needs. This means any reply generated is accurate based on what was said before.

Yep. You can list all organization staff using `list_staff`, or check specific performance data with `get_staff_stats`. It keeps your team insights right where you need them.

Absolutely. The server lets you list general contacts with `list_customers`, or focus only on sales prospects by running `list_leads`. It separates your customer base cleanly.

This server handles communication and contact data, specifically listing records from tools like `get_customer_details` and `list_chat_records`.

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