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

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

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Marqeta as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Marqeta MCP Server for LlamaIndex 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

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Marqeta. "
            "You have 31 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Marqeta?"
    )
    print(response)

asyncio.run(main())

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.

LlamaIndex agents combine Marqeta tool responses with indexed documents for comprehensive, grounded answers. Connect 31 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 31 tools from Marqeta

Why Use LlamaIndex with the Marqeta MCP Server

LlamaIndex provides unique advantages when paired with Marqeta through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Marqeta tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Marqeta tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Marqeta, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Marqeta tools were called, what data was returned, and how it influenced the final answer

Marqeta + LlamaIndex Use Cases

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

Hybrid search: combine Marqeta real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Marqeta to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Marqeta for fresh data

Analytical workflows: chain Marqeta queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Marqeta in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Marqeta + LlamaIndex FAQ

Common questions about integrating Marqeta MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Marqeta tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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