Marqeta MCP Server for LangChainGive LangChain instant access to 31 tools to Create Ach Funding Source, Create Auth Control, Create Business, and more
LangChain is the leading Python framework for composable LLM applications. Connect Marqeta through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The Marqeta MCP Server for LangChain is a standout in the Money Moves category — giving your AI agent 31 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"marqeta": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Marqeta, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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.
LangChain's ecosystem of 500+ components combines seamlessly with Marqeta through native MCP adapters. Connect 31 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 ach funding source on Marqeta
Create an ACH funding source
Create auth control on Marqeta
Create an authorization control
Create business on Marqeta
Create a new Marqeta business
Create card on Marqeta
Create a new Marqeta card
Create card product on Marqeta
Create a new Marqeta card product
Create card transition on Marqeta
g., ACTIVE, SUSPENDED, TERMINATED). Create a card transition
Create direct deposit transition on Marqeta
g., to reverse a deposit). Create a direct deposit transition
Create gpa order on Marqeta
Create a GPA order to fund an account
Create payment card funding source on Marqeta
Create a payment card funding source
Create pin control token on Marqeta
Create a PIN control token
Create program funding source on Marqeta
Create a program funding source
Create user on Marqeta
Create a new Marqeta user
Create user transition on Marqeta
g., ACTIVE, SUSPENDED, CLOSED). Create a user transition
Create velocity control on Marqeta
Create a velocity control
Create webhook on Marqeta
Create a webhook
Get balances on Marqeta
Retrieve balances for a user or business
Get business on Marqeta
Retrieve a Marqeta business by token
Get card on Marqeta
Retrieve a Marqeta card by token
Get direct deposit on Marqeta
Retrieve a direct deposit record
Get user on Marqeta
Retrieve a Marqeta user by token
List cards by user on Marqeta
List all cards for a specific user
List users on Marqeta
List Marqeta users
Perform kyc on Marqeta
Perform KYC verification for a user
Ping webhook on Marqeta
Ping a webhook
Provision apple pay on Marqeta
Provision a card for Apple Pay
Provision google pay on Marqeta
Provision a card for Google Pay
Reveal pin on Marqeta
Reveal a card PIN
Simulate authorization on Marqeta
Simulate an authorization
Simulate clearing on Marqeta
Simulate a clearing transaction
Simulate reversal on Marqeta
Simulate a reversal
Update pin on Marqeta
Set or update a card PIN
Connect Marqeta to LangChain via MCP
Follow these steps to wire Marqeta into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Marqeta MCP Server
LangChain provides unique advantages when paired with Marqeta through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Marqeta MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Marqeta queries for multi-turn workflows
Marqeta + LangChain Use Cases
Practical scenarios where LangChain combined with the Marqeta MCP Server delivers measurable value.
RAG with live data: combine Marqeta tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Marqeta, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Marqeta tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Marqeta tool call, measure latency, and optimize your agent's performance
Example Prompts for Marqeta in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Marqeta immediately.
"List the last 10 users registered in my Marqeta environment."
"Issue a new virtual card for user token 'user_888' using card product 'prod_999'."
"Fund $50.00 USD to user 'u_789' from funding source 'fs_000'."
Troubleshooting Marqeta MCP Server with LangChain
Common issues when connecting Marqeta to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMarqeta + LangChain FAQ
Common questions about integrating Marqeta MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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