How to Use the Meituan Waimai Open API / 美团外卖 MCP in CrewAI

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Connect Meituan Waimai Open API / 美团外卖 MCP to CrewAI

Create your Vinkius account to connect Meituan Waimai Open API / 美团外卖 to CrewAI 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 Meituan Waimai Open API / 美团外卖 with CrewAI

Ask AI about this MCP

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Perplexity

Hierarchical Order Processing

Assign a moderator agent to `confirm_order` tasks while a researcher agent monitors trends with `get_store_comments`. Your crew divides the labor to keep your store running efficiently. This keeps your operations organized. One agent focuses on the immediate order flow while the other provides long-term performance insights.

Automated Store Monitoring

Deploy a monitor agent to repeatedly check `get_store_info` and `list_recent_orders`. It acts as a digital manager, keeping a constant eye on your performance metrics. You stop guessing about your current status. The agent provides a clear, updated picture of your store's health at all times.

Delivery Escalation Teams

Use a specialized agent to `track_delivery` and escalate issues to a human-in-the-loop if necessary. The agent handles the routine tracking, only bothering your team when it hits a snag. This reduces your operational overhead. Your staff spends less time checking statuses and more time handling issues that actually matter.

Setup guide

Set up Meituan Waimai Open API / 美团外卖 MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Meituan Waimai Open API / 美团外卖 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Meituan Waimai Open API / 美团外卖 Analyst",
    goal="Access and analyze Meituan Waimai Open API / 美团外卖 data via MCP.",
    backstory="Expert analyst with direct Meituan Waimai Open API / 美团外卖 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Meituan Waimai Open API / 美团外卖 transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Meituan Waimai Open API / 美团外卖 Analyst",
        goal="Access and analyze Meituan Waimai Open API / 美团外卖 data via MCP.",
        backstory="Expert analyst with direct Meituan Waimai Open API / 美团外卖 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Meituan Waimai Open API / 美团外卖 transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Meituan Waimai Open API / 美团外卖. 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 Meituan Waimai Open API / 美团外卖 MCP in CrewAI

Pass the server URL to your agents in the configuration. You can then assign specific tools like `cancel_order` or `get_store_info` to individual agents based on their role.

Yes, shared memory allows agents to pass data between steps. One agent can fetch order details, and another can analyze them to decide whether to trigger a cancellation.

Yes, you can designate a moderator agent to approve actions before they are executed. This gives you a final check on automated decisions like closing the store.

The server manages the connection via a single endpoint token. You just provide the token during configuration, and the framework handles the rest of the handshake.

The platform enforces strict isolation for every connection. Your proprietary order logs and customer feedback data are processed in a secure sandbox, keeping them entirely separate from other users.

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