How to Use the Marqeta MCP in CrewAI
Deploy a specialized crew of CrewAI agents to manage your Marqeta card program, automate fraud monitoring, and handle disputes.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Marqeta MCP to CrewAI
Create your Vinkius account to connect Marqeta 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.
Collaborative Card Issuing and KYC
The `create_user` tool registers new cardholders on the Marqeta platform. In a CrewAI setup, an Onboarding Agent runs this MCP Server tool, while a separate Compliance Agent executes `perform_kyc` to verify the user's identity. The two agents share memory to pass user tokens and verification statuses back and forth. This collaborative approach ensures that cards are only generated via `create_card` once all compliance checks pass.
Autonomous Fraud Response via MCP Server
The `create_card_transition` tool instantly updates a card's state to active, suspended, or terminated. Your CrewAI Security Agent monitors transaction webhooks and uses this tool to freeze cards the moment it detects fraudulent behavior. While the Security Agent freezes the card, a Customer Service Agent concurrently updates the user's profile state using `create_user_transition`. This multi-agent response happens autonomously, neutralizing threats within seconds.
Automated Ledger and Balance Reconciliation
The `get_balances` tool retrieves the real-time financial standing of any user or business ledger. Your CrewAI Finance Agent queries this tool to reconcile corporate spending against your program funding source. When balances run low, the Finance Agent coordinates with a Funding Agent to execute `create_gpa_order`. This keeps your cards active and funded without requiring manual ledger oversight.
Set up Marqeta 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 Marqeta tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Marqeta Analyst",
goal="Access and analyze Marqeta data via MCP.",
backstory="Expert analyst with direct Marqeta access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Marqeta 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="Marqeta Analyst",
goal="Access and analyze Marqeta data via MCP.",
backstory="Expert analyst with direct Marqeta access.",
tools=mcp_tools,
)
task = Task(
description="List recent Marqeta 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 Marqeta. 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
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Real-time monitoring
Live
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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.
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One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Marqeta MCP in CrewAI
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