How to Use the Lingyi Wanwu MCP in CrewAI

Q: How does CrewAI manage Lingyi Wanwu tool filtering?

Use the toolfilter option to restrict which agents use which tools. It ensures only the right agent calls the right model endpoint.

Deploy a crew of Lingyi Wanwu agents using CrewAI for autonomous operations.

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Connect Lingyi Wanwu MCP to CrewAI

Create your Vinkius account to connect Lingyi Wanwu 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 Lingyi Wanwu with CrewAI

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Claude

Perplexity

Coordinate specialized Yi agents

Assign agents to use `chat_completions` for research or analysis. CrewAI manages the collaboration between these agents to complete multi-part goals. Each agent has a specific role. They share memory to make sure the final output is consistent.

Monitor output with moderation agents

Designate a moderator agent that runs `check_moderation` on all incoming data. It keeps the crew's workspace clean of prohibited content. This setup works without human input. It handles filtering at the agent level for speed.

Scale operations with usage tracking

Use `get_usage` within a supervisor agent to watch token consumption. If the crew exceeds a threshold, the supervisor can stop the process. It keeps your budget in check during long-running tasks. You retain full visibility into how the crew spends resources.

Setup guide

Set up Lingyi Wanwu 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 Lingyi Wanwu tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Lingyi Wanwu 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="Lingyi Wanwu Analyst",
        goal="Access and analyze Lingyi Wanwu data via MCP.",
        backstory="Expert analyst with direct Lingyi Wanwu access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lingyi Wanwu 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 Lingyi Wanwu. 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 Lingyi Wanwu MCP in CrewAI

Pass the server URL directly into your agent definition. CrewAI connects to the server and makes the tools available to your crew members.

They can. You can filter tool access so specific agents only see the tools they need. It keeps the crew organized and efficient.

Use the tool_filter option to restrict which agents use which tools. It ensures only the right agent calls the right model endpoint.

It is well-suited for autonomous work. You can chain agents to research, write, and moderate content using the server tools.

We enforce strict isolation for every session. Your agent interactions are processed in a sandbox that wipes all transient data upon completion.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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