How to Use the TurfHop MCP in CrewAI

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Connect TurfHop MCP to CrewAI

Create your Vinkius account to connect TurfHop 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 TurfHop with CrewAI

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Perplexity

Automate customer lifecycle management with the crew of agents.

You can set up a 'Customer Crew.' Agent A researches potential new clients by calling `list_customers`. Agent B uses this data to draft an initial setup request via `create_customer`. Because it's role-based, one agent handles the research while another acts on the data. It’s designed for autonomous operations.

Orchestrate job scheduling using a team of specialized agents.

Imagine an 'Operations Crew.' One agent calls `list_jobs` to get current assignments, and another analyzes that list to see which jobs need updating. The third agent then executes the change by calling `update_job`. This hierarchical execution means you're not just running a single command; you’re simulating an entire department working together.

Handle comprehensive inventory and billing using multi-agent collaboration.

A 'Finance Crew' works on this. Agent A gathers all available services via `list_products`. Agent B then uses that list to generate a quote by calling `list_quotes` or creating one outright. The shared memory between agents means the pricing data found in one step is immediately available for the next.

Setup guide

Set up TurfHop 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 TurfHop tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the MCP Server URL directly to your agent setup. The CrewAI framework then allows specialized agents to access all 12 available tools, letting them work together on complex tasks.

Your team of agents can pull any core operational data. This includes listing everything from `list_jobs` to getting detailed client info via `get_customer`. It’s a full catalog.

Yes, the agents can handle updates. Whether it's modifying a customer record with `update_customer` or fixing job details via `update_job`, the process is managed autonomously.

The agents can handle all your financials. You'll use tools like `list_invoices` and `get_invoice`. The collaboration ensures that the data retrieved is accurate for invoicing.

The server touches billing records, specifically invoice details. It also handles product catalog information, listing all available products and services.

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