How to Use the Glow Loyalty MCP in CrewAI

Deploy autonomous loyalty teams in CrewAI to manage members and rewards without manual oversight.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Glow Loyalty MCP to CrewAI

Create your Vinkius account to connect Glow Loyalty 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.

GDPR Free for Subscribers

Setup Glow Loyalty with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Role-based loyalty teams in CrewAI

Assign a 'Support Agent' to use `get_member_balance` while a 'Manager Agent' handles `adjust_member_points`. CrewAI agents share memory to coordinate these tasks. Stop switching between consoles. Your specialized agents work together to resolve balance disputes from start to finish.

Autonomous member monitoring in CrewAI

Set a monitor agent to watch `list_new_members` and trigger welcome actions. The crew handles the entire onboarding flow without you touching a single ticket. Keep your loyalty program active 24/7. The agents keep track of the member list and act whenever a new record appears.

Sequential reward handling in CrewAI

Chain `list_available_rewards` and `redeem_loyalty_reward` in a sequential crew task. The agent verifies eligibility before processing the final redemption. Ensure every reward claim follows your rules. The agent validates the data before it ever hits the live system.

Setup guide

Set up Glow Loyalty 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 Glow Loyalty tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Glow Loyalty 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 Glow Loyalty. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Glow Loyalty now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Glow Loyalty MCP in CrewAI

Pass the server URL into your agent definition as an MCP tool. CrewAI will handle the connection and map the tools for your agents.

Yes. With shared memory enabled, one agent can search a member with `find_loyalty_member` and pass that context to another agent for point adjustment.

It is designed for it. The toolset allows agents to query, modify, and manage member records independently within the limits you define.

You can selectively expose tools to specific agents. This ensures your research agent can only read data, while your executive agent handles the writes.

We enforce strict per-request validation. Every interaction with your member point balances is logged and verified against your account credentials.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python