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 CrewAI 10 tools — connect in under 2 minutes

Name: Weiban Assistant
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Weiban Assistant through Vinkius, pass the Edge URL in the `mcps` parameter and every Weiban Assistant tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Weiban Assistant Specialist",
    goal="Help users interact with Weiban Assistant effectively",
    backstory=(
        "You are an expert at leveraging Weiban Assistant tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Weiban Assistant "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Weiban Assistant becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Weiban Assistant tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Weiban Assistant

Why Use CrewAI with the Weiban Assistant MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Weiban Assistant through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Weiban Assistant + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Weiban Assistant for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Weiban Assistant, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Weiban Assistant tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Weiban Assistant against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Weiban Assistant MCP Tools for CrewAI (10)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Weiban Assistant + CrewAI FAQ

Common questions about integrating Weiban Assistant MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.