How to Use the Dada Now / 达达 MCP in CrewAI

Q: How do I restrict Dada Now / 达达 tools for specific agents?

Use the toolfilter option in the MCPServerHTTP configuration to only give your agents access to the tools they actually need.

Deploy a specialized delivery crew using CrewAI and Dada Now / 达达 tools.

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Connect Dada Now / 达达 MCP to CrewAI

Create your Vinkius account to connect Dada Now / 达达 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 Dada Now / 达达 with CrewAI

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Perplexity

Role-based logistics with CrewAI

Assign a dedicated agent to monitor order status using `get_order_detail` while another agent handles shop updates. The crew shares memory, so one agent knows exactly what the other just did. This setup removes the need for manual monitoring. Your crew handles the entire lifecycle of a delivery from registration to completion.

Autonomous order operations

Create a team that investigates supported cities via `list_supported_cities` before initiating a new shop registration. The agents decide the order of operations based on your high-level goals. They act without you telling them every step. You just set the objective and watch the crew coordinate their tasks.

Sequential execution of delivery tasks

Set up a flow where an agent checks the delivery fee, confirms with a manager, and then uses `create_order` to finish the job. The crew handles the hand-offs automatically. It’s built for complex ops where you need clear separation of duties. Each agent only has the permissions you grant it.

Setup guide

Set up Dada Now / 达达 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 Dada Now / 达达 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Dada Now / 达达 Analyst",
    goal="Access and analyze Dada Now / 达达 data via MCP.",
    backstory="Expert analyst with direct Dada Now / 达达 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Dada Now / 达达 transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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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="Dada Now / 达达 Analyst",
        goal="Access and analyze Dada Now / 达达 data via MCP.",
        backstory="Expert analyst with direct Dada Now / 达达 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Dada Now / 达达 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 Dada Now / 达达. 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 Dada Now / 达达 MCP in CrewAI

Add the server URL to your agent's mcps list. The framework automatically loads the tools for your agents to use.

Yes. You can assign a specific agent in your crew to manage shop metadata and another to handle order flow, ensuring tasks stay organized.

It does. You can have a manager agent oversee the delivery crew, delegating specific tools to the agents best suited for the job.

Use the tool_filter option in the MCPServerHTTP configuration to only give your agents access to the tools they actually need.

Vinkius uses ephemeral sessions for every request. Sensitive delivery parameters and shop IDs are never persisted and are isolated from other agent sessions.

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