How to Use the AwardWallet MCP in CrewAI
Coordinate cooperative agents with CrewAI to track AwardWallet reward points and optimize travel itineraries autonomously.
Works with every AI agent you already use
…and any MCP-compatible client
Connect AwardWallet MCP to CrewAI
Create your Vinkius account to connect AwardWallet 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.
Coordinate travel planning crews with this MCP Server
The `get_user_itineraries` and `get_user_timeline` tools provide complete flight, hotel, and car rental details for a specific user. In a CrewAI setup, you can assign these tools to a specialized Travel Concierge Agent whose sole job is to parse upcoming trips and identify scheduling conflicts. That agent can then hand off the structured itinerary data to a separate Booking Agent. Together, they cross-reference flight times with loyalty statuses to recommend optimal lounge access or flight upgrades without any human intervention.
Autonomous loyalty auditing using CrewAI
The `get_user_accounts` and `get_account_history` tools retrieve real-time point balances and historical transaction data from AwardWallet. You can deploy an autonomous CrewAI team using this MCP setup where a Loyalty Analyst Agent monitors these balances for points nearing expiration. Once an expiring balance is detected, the analyst agent passes the details to a Redemption Agent. It's a clean way to keep your rewards active without lifting a finger, as the agent searches your connected programs to suggest the best ways to burn those points before they vanish.
Auto-onboard new loyalty profiles via CrewAI
The `create_auth_url` and `list_connected_users` tools manage the authorization pipeline for linking new profiles to your business account. A CrewAI onboarding agent can monitor your user database, detect unlinked accounts, and automatically generate and send the authorization link. By keeping track of who has successfully authenticated, the agent ensures your system only attempts to sync active profiles. This reduces API overhead and keeps your background workers focused on accounts that are ready to sync.
Set up AwardWallet MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke AwardWallet tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="AwardWallet Analyst",
goal="Access and analyze AwardWallet data via MCP.",
backstory="Expert analyst with direct AwardWallet access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent AwardWallet transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="AwardWallet Analyst",
goal="Access and analyze AwardWallet data via MCP.",
backstory="Expert analyst with direct AwardWallet access.",
tools=mcp_tools,
)
task = Task(
description="List recent AwardWallet transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AwardWallet. 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 AwardWallet MCP in CrewAI
Use it with your favorite AI tools
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