Weiban Assistant MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Weiban Assistant through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Weiban Assistant Assistant",
instructions=(
"You help users interact with Weiban Assistant. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Weiban Assistant"
)
print(result.final_output)
asyncio.run(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 Weiban Assistant MCP Server
Empower your AI agent to orchestrate your customer relationship within the WeCom ecosystem with Weiban Assistant, the leading CRM solution for business WeChat. By connecting Weiban to your agent, you transform complex customer tracking and group chat management into a natural conversation. Your agent can instantly list your customers, retrieve detailed lead information, monitor group chat activity, and even provide staff behavior statistics without you ever needing to navigate the web interface. Whether you are managing high-volume customer inquiries or complex sales pipelines, your agent acts as a real-time sales and service assistant, keeping your data accurate and your team responsive.
The OpenAI Agents SDK auto-discovers all 10 tools from Weiban Assistant through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Weiban Assistant, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Customer Orchestration — List and retrieve detailed information about your WeCom customers and external users.
- Pipeline Management — Manage sales leads with full support for listing and creating new prospects.
- Group Chat Monitoring — List active group chats and retrieve detailed information about participation and activity.
- Staff Analytics — Monitor staff behavior statistics and performance metrics across the organization.
- Activity Auditing — Browse chat records and retrieve high-level summaries of organization-wide WeCom engagement.
The Weiban Assistant MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents 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 Weiban Assistant to OpenAI Agents SDK via MCP
Follow these steps to integrate the Weiban Assistant MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Weiban Assistant
Why Use OpenAI Agents SDK with the Weiban Assistant MCP Server
OpenAI Agents SDK provides unique advantages when paired with Weiban Assistant through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Weiban Assistant + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Weiban Assistant MCP Server delivers measurable value.
Automated workflows: build agents that query Weiban Assistant, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Weiban Assistant, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Weiban Assistant tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Weiban Assistant to resolve tickets, look up records, and update statuses without human intervention
Weiban Assistant MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Weiban Assistant to OpenAI Agents SDK via MCP:
create_lead
Create a new lead
get_customer_details
Get customer details
get_group_chat
Get group chat details
get_org_summary
Get organization activity summary
get_staff_stats
Get staff behavior statistics
list_chat_records
List chat histories
list_customers
List WeCom customers
list_group_chats
List WeCom group chats
list_leads
List sales leads
list_staff
List organization staff
Example Prompts for Weiban Assistant in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Weiban Assistant immediately.
"List all my WeCom customers from Weiban."
"Show me the behavior statistics for staff user 'Mario'."
"Check the activity summary for our group chats."
Troubleshooting Weiban Assistant MCP Server with OpenAI Agents SDK
Common issues when connecting Weiban Assistant to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Weiban Assistant + OpenAI Agents SDK FAQ
Common questions about integrating Weiban Assistant MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Weiban Assistant 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 Weiban Assistant to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.