How to Use the Juhe Data / 聚合数据 MCP in CrewAI

Deploy specialized autonomous agent teams using Juhe Data / 聚合数据 and CrewAI.

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Connect Juhe Data / 聚合数据 MCP to CrewAI

Create your Vinkius account to connect Juhe Data / 聚合数据 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 Juhe Data / 聚合数据 with CrewAI

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Perplexity

Specialized agent collaboration

Assign research tasks to one agent using `get_latest_news` while another agent analyzes the impact. CrewAI manages the shared memory between them, allowing for complex, multi-stage operations. Agents share the context of previous tool outputs. This makes it easy to build a crew that researches a topic and then performs a follow-up action based on that information.

Autonomous operations at scale

Set up a monitor agent to watch for specific conditions using `get_weather` or `get_oil_price`. When the data changes, the agent triggers a response sequence without human input. This removes the need for manual monitoring. Your agents work continuously, checking data and executing tasks based on the real-time information provided by the MCP server.

Selective tool exposure for crews

Use tool filtering to give each agent access only to what it needs. A moderation agent might have access to `get_id_card_info`, while your research agent only sees `get_constellation_horoscope` and news tools. This keeps your agents focused and secure. By limiting the scope of each crew member, you reduce the risk of unexpected behavior during autonomous execution.

Setup guide

Set up Juhe Data / 聚合数据 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 Juhe Data / 聚合数据 tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Juhe Data / 聚合数据 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="Juhe Data / 聚合数据 Analyst",
        goal="Access and analyze Juhe Data / 聚合数据 data via MCP.",
        backstory="Expert analyst with direct Juhe Data / 聚合数据 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Juhe Data / 聚合数据 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 Juhe Data / 聚合数据. 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 Juhe Data / 聚合数据 MCP in CrewAI

Pass the server URL directly into your agent definition. CrewAI will automatically connect to the server and make the tools available for your crew members.

Yes. Each agent can be configured with a subset of tools. They will decide when to use them based on the task objectives you provide.

The server operates in a secure sandbox. It only exposes data through the tools you explicitly authorize, ensuring your agents follow strict access boundaries.

Yes. You can assign these tools to any agent, regardless of whether your crew is organized sequentially or hierarchically.

The tools access public utility data like weather, news, and exchange rates, plus identity verification records. All requests are authenticated at the server level.

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