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Marqeta MCP Server for CrewAIGive CrewAI instant access to 31 tools to Create Ach Funding Source, Create Auth Control, Create Business, and more

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Connect your CrewAI agents to Marqeta through Vinkius, pass the Edge URL in the `mcps` parameter and every Marqeta tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Ask AI about this MCP Server for CrewAI

The Marqeta MCP Server for CrewAI is a standout in the Money Moves category — giving your AI agent 31 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Marqeta Specialist",
    goal="Help users interact with Marqeta effectively",
    backstory=(
        "You are an expert at leveraging Marqeta tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Marqeta "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 31 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Marqeta
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Marqeta MCP Server

Connect your Marqeta account to any AI agent to manage your card issuing infrastructure through natural conversation. This server provides comprehensive tools for managing the entire lifecycle of card programs.

When paired with CrewAI, Marqeta becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Marqeta tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

  • User & Business Management — Create and retrieve individual users or business entities to act as account holders.
  • Card Issuance — Create physical or virtual payment cards and manage card products that define spending behaviors.
  • Funding & GPA Orders — Move funds into account holder General Purpose Accounts (GPA) and manage ACH funding sources.
  • Inventory & Retrieval — List users, fetch specific card details, and audit all cards associated with a specific user token.
  • Configuration — Define card products with specific start dates and names to control your issuing environment.

The Marqeta MCP Server exposes 31 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 31 Marqeta tools available for CrewAI

When CrewAI connects to Marqeta through Vinkius, your AI agent gets direct access to every tool listed below — spanning card-issuing, fintech-api, virtual-cards, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create ach funding source on Marqeta

Create an ACH funding source

create

Create auth control on Marqeta

Create an authorization control

create

Create business on Marqeta

Create a new Marqeta business

create

Create card on Marqeta

Create a new Marqeta card

create

Create card product on Marqeta

Create a new Marqeta card product

create

Create card transition on Marqeta

g., ACTIVE, SUSPENDED, TERMINATED). Create a card transition

create

Create direct deposit transition on Marqeta

g., to reverse a deposit). Create a direct deposit transition

create

Create gpa order on Marqeta

Create a GPA order to fund an account

create

Create payment card funding source on Marqeta

Create a payment card funding source

create

Create pin control token on Marqeta

Create a PIN control token

create

Create program funding source on Marqeta

Create a program funding source

create

Create user on Marqeta

Create a new Marqeta user

create

Create user transition on Marqeta

g., ACTIVE, SUSPENDED, CLOSED). Create a user transition

create

Create velocity control on Marqeta

Create a velocity control

create

Create webhook on Marqeta

Create a webhook

get

Get balances on Marqeta

Retrieve balances for a user or business

get

Get business on Marqeta

Retrieve a Marqeta business by token

get

Get card on Marqeta

Retrieve a Marqeta card by token

get

Get direct deposit on Marqeta

Retrieve a direct deposit record

get

Get user on Marqeta

Retrieve a Marqeta user by token

list

List cards by user on Marqeta

List all cards for a specific user

list

List users on Marqeta

List Marqeta users

perform

Perform kyc on Marqeta

Perform KYC verification for a user

ping

Ping webhook on Marqeta

Ping a webhook

provision

Provision apple pay on Marqeta

Provision a card for Apple Pay

provision

Provision google pay on Marqeta

Provision a card for Google Pay

reveal

Reveal pin on Marqeta

Reveal a card PIN

simulate

Simulate authorization on Marqeta

Simulate an authorization

simulate

Simulate clearing on Marqeta

Simulate a clearing transaction

simulate

Simulate reversal on Marqeta

Simulate a reversal

update

Update pin on Marqeta

Set or update a card PIN

Connect Marqeta to CrewAI via MCP

Follow these steps to wire Marqeta into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 31 tools from Marqeta

Why Use CrewAI with the Marqeta MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Marqeta through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Marqeta + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Marqeta MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Marqeta for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Marqeta, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Marqeta tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Marqeta against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Marqeta in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Marqeta immediately.

01

"List the last 10 users registered in my Marqeta environment."

02

"Issue a new virtual card for user token 'user_888' using card product 'prod_999'."

03

"Fund $50.00 USD to user 'u_789' from funding source 'fs_000'."

Troubleshooting Marqeta MCP Server with CrewAI

Common issues when connecting Marqeta to CrewAI through Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Marqeta + CrewAI FAQ

Common questions about integrating Marqeta MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.

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