How do I find my Weiban Corp ID and Secret?

Log in to your Weiban administration backend, go to [App Center] → [Open Platform], and you will find your Corp ID and Secret there. Ensure you have the necessary permissions enabled.

Can I see chat records through this server?

Yes. Use the `list_chat_records` tool to retrieve historical chat between staff members and customers. This is essential for auditing service quality and tracking sales conversations.

Is it possible to monitor group chat activity?

Yes! You can use the `list_group_chats` tool to see all active groups and `get_group_chat` with a specific ID to retrieve detailed information about participation and engagement levels.

Weiban Assistant MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Weiban Assistant
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Weiban Assistant through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "weiban-assistant": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Weiban Assistant, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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IAMAccess control

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Weiban Assistant through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Weiban Assistant MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Weiban Assistant via MCP

Why Use LangChain with the Weiban Assistant MCP Server

LangChain provides unique advantages when paired with Weiban Assistant through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Weiban Assistant MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Weiban Assistant queries for multi-turn workflows

Weiban Assistant + LangChain Use Cases

Practical scenarios where LangChain combined with the Weiban Assistant MCP Server delivers measurable value.

RAG with live data: combine Weiban Assistant tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Weiban Assistant, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Weiban Assistant tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Weiban Assistant tool call, measure latency, and optimize your agent's performance

Weiban Assistant MCP Tools for LangChain (10)

These 10 tools become available when you connect Weiban Assistant to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Weiban Assistant to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Weiban Assistant + LangChain FAQ

Common questions about integrating Weiban Assistant MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.