How to Use the Zinrelo MCP in CrewAI

Q: Can I automatically enroll members using Zinrelo and CrewAI?

Yes. You write a dedicated task for an agent to call enrollmember. This allows the crew to run autonomous onboarding operations without human intervention, creating or updating records as needed.

Q: Is Zinrelo reliable for listing all members with CrewAI?

The 'Monitoring Agent' can use listloyaltymembers to pull the full list of enrolled users. This data is then passed to other specialized agents for analysis or reporting.

Q: Does Zinrelo support checking member status with CrewAI?

Absolutely. You can task an agent with calling getmemberdetails and passing that information to another agent, allowing the crew to make decisions based on the current membership standing.

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Connect Zinrelo MCP to CrewAI

Create your Vinkius account to connect Zinrelo 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 Zinrelo with CrewAI

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Automate Point Earning and Deduction

You can assign a 'Finance Agent' to handle point changes. This agent uses `award_points_purchase` for positive actions and `deduct_points` when points must be removed. The shared memory allows the monitoring agent to keep track of every adjustment, making auditing straightforward.

Manage Member Lifecycle

The 'Onboarding Agent' handles user records using `enroll_member`. It ensures that whether a member is new or updating their profile, the record remains current. A dedicated task can use `get_member_details` to pull all necessary account information before initiating any changes.

Process Rewards and View History

An 'Operations Agent' executes tasks like checking point eligibility or running a reward exchange using `redeem_reward`. It can also list all transactions via `list_member_transactions`. For high-level views, the crew can run `list_loyalty_members` to gather data on the entire user base.

Setup guide

Set up Zinrelo 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 Zinrelo tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Assign a specialized agent to handle point tasks. This agent can run `award_points_activity` or manually use `deduct_points`. The crew ensures that these actions are logged correctly into the member's history.

The MCP Server deals with loyalty points, including purchase records and transaction histories. It manages specific user attributes like name and membership status.

Yes. You write a dedicated task for an agent to call `enroll_member`. This allows the crew to run autonomous onboarding operations without human intervention, creating or updating records as needed.

The 'Monitoring Agent' can use `list_loyalty_members` to pull the full list of enrolled users. This data is then passed to other specialized agents for analysis or reporting.

Absolutely. You can task an agent with calling `get_member_details` and passing that information to another agent, allowing the crew to make decisions based on the current membership standing.

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