How do I find my LianLian Merchant ID?

Your Merchant ID is an 18-digit number starting with '14', provided by LianLian Pay after your account is successfully registered and verified. You can find it in the LianLian Global portal dashboard.

How do I set up the RSA keys for API calls?

Generate a 2048-bit RSA key pair. Upload your Public Key to the LianLian Global portal under [Developer Settings]. Use your Private Key in the credentials section of this server to sign requests.

Can I initiate a refund through the agent?

Yes. Use the `refund_order` tool with the original order ID and the refund amount. Your agent will initiate the request with LianLian Pay and monitor the processing status for you.

LianLian Pay MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: LianLian Pay
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="LianLian Pay Specialist",
    goal="Help users interact with LianLian Pay effectively",
    backstory=(
        "You are an expert at leveraging LianLian Pay 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 LianLian Pay "
        "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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About LianLian Pay MCP Server

Empower your AI agent to orchestrate your international financial infrastructure with LianLian Pay, the premier cross-border payment platform for enterprise global trade. By connecting LianLian Pay to your agent, you transform complex settlement tracking, fund collections, and multi-currency management into a natural conversation. Your agent can instantly list your balances, retrieve transaction details, monitor fund settlements, and even initiate refund requests without you ever needing to navigate the comprehensive LianLian Global portal. Whether you are managing cross-border e-commerce revenue or coordinating international supplier payments, your agent acts as a real-time global treasury assistant, keeping your data accurate and your settlements moving.

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

What you can do

Balance Orchestration — Retrieve real-time balance information across your LianLian merchant accounts.
Payment Management — Create and track payment orders with full support for unique identifiers and status queries.
Settlement Monitoring — Browse historical settlements and fund withdrawals to track your capital flow.
Transaction Auditing — Filter and retrieve detailed transaction records for financial reconciliation.
Treasury Insights — Retrieve current FX exchange rates and supported bank lists for efficient fund management.

The LianLian Pay 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 LianLian Pay to CrewAI via MCP

Follow these steps to integrate the LianLian Pay 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 LianLian Pay

Why Use CrewAI with the LianLian Pay MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with LianLian Pay 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 the 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

LianLian Pay + CrewAI Use Cases

Practical scenarios where CrewAI combined with the LianLian Pay MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries LianLian Pay 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 LianLian Pay, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain LianLian Pay 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 LianLian Pay against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

LianLian Pay MCP Tools for CrewAI (10)

These 10 tools become available when you connect LianLian Pay to CrewAI via MCP:

create_payment

Create a new payment

get_account_info

Get merchant account info

get_balance

Get account balance

get_bank_list

Get supported banks

get_exchange_rates

Get current FX rates

list_settlements

List settlements

list_transactions

List transactions

list_withdrawals

List fund withdrawals

query_order

Query order status

refund_order

Refund a payment

Example Prompts for LianLian Pay in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with LianLian Pay immediately.

"What is my current balance on LianLian Pay?"

"Check the status of order 'LL-ORDER-8821'."

"List the last 5 settlements for my merchant account."

Troubleshooting LianLian Pay MCP Server with CrewAI

Common issues when connecting LianLian Pay 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

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

LianLian Pay + CrewAI FAQ

Common questions about integrating LianLian Pay 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.