CrewAIFramework

Marqeta MCP Server

Bring Card Issuing
to CrewAI

Name: Marqeta MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

Learn how to connect Marqeta to CrewAI and start using 31 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Create Ach Funding SourceCreate Auth ControlCreate BusinessCreate CardCreate Card ProductCreate Card TransitionCreate Direct Deposit TransitionCreate Gpa OrderCreate Payment Card Funding SourceCreate Pin Control TokenCreate Program Funding SourceCreate UserCreate User TransitionCreate Velocity ControlCreate WebhookGet BalancesGet BusinessGet CardGet Direct DepositGet UserList Cards By UserList UsersPerform KycPing WebhookProvision Apple PayProvision Google PayReveal PinSimulate AuthorizationSimulate ClearingSimulate ReversalUpdate Pin

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What is the 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.

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.

How it works

Subscribe to this server
Enter your Marqeta Application Token and Admin Access Token
Provide your Base URL (Sandbox or Production)
Start issuing cards and managing fintech workflows from your MCP-compatible client

Built-in capabilities (31)

create_ach_funding_source

Create an ACH funding source

create_auth_control

Create an authorization control

create_business

Create a new Marqeta business

create_card

Create a new Marqeta card

create_card_product

Create a new Marqeta card product

create_card_transition

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

create_direct_deposit_transition

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

create_gpa_order

Create a GPA order to fund an account

create_payment_card_funding_source

Create a payment card funding source

create_pin_control_token

Create a PIN control token

create_program_funding_source

Create a program funding source

create_user

Create a new Marqeta user

create_user_transition

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

create_velocity_control

Create a velocity control

create_webhook

Create a webhook

get_balances

Retrieve balances for a user or business

get_business

Retrieve a Marqeta business by token

get_card

Retrieve a Marqeta card by token

get_direct_deposit

Retrieve a direct deposit record

get_user

Retrieve a Marqeta user by token

list_cards_by_user

List all cards for a specific user

list_users

List Marqeta users

perform_kyc

Perform KYC verification for a user

ping_webhook

Ping a webhook

provision_apple_pay

Provision a card for Apple Pay

provision_google_pay

Provision a card for Google Pay

reveal_pin

Reveal a card PIN

simulate_authorization

Simulate an authorization

simulate_clearing

Simulate a clearing transaction

simulate_reversal

Simulate a reversal

update_pin

Set or update a card PIN

Why CrewAI?

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.

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

See it in action

Marqeta in CrewAI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Marqeta and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Marqeta to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for CrewAI →

Enterprise Security

Why teams choose Vinkius for Marqeta in CrewAI

The Marqeta 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. All 31 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Marqeta details →

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

The Vinkius Advantage

How Vinkius secures
Marqeta for CrewAI

Every tool call from CrewAI to the Marqeta MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I see all cards belonging to a specific person?

Use the list_cards_by_user tool by providing the user's unique token. The agent will return a list of all physical and virtual cards associated with that account holder.

How do I add money to a user's card account?

You can use the create_gpa_order tool. You'll need the user token, the amount, currency code, and a funding source token to move funds into their General Purpose Account.

Is it possible to register a legal entity instead of an individual?

Yes, use the create_business tool to create a business entity. You can then retrieve its details using the get_business tool with the business token.

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.

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.

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.

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.

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.