3,400+ MCP servers ready to use
Vinkius

Stripe Legacy MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Charge, Create Customer, Create Refund, and more

Built by Vinkius GDPR 11 Tools Framework

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

Ask AI about this App Connector for LlamaIndex

The Stripe Legacy app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Stripe Legacy. "
            "You have 11 tools available."
        ),
    )

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

asyncio.run(main())
Stripe Legacy
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 Stripe Legacy MCP Server

Connect your Stripe account to any AI agent to automate your basic payment processing and customer management. This integration provides a streamlined interface for the core Stripe v1 API, allowing you to monitor charges, create payment tokens, and track account balances through natural conversation.

LlamaIndex agents combine Stripe Legacy tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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

  • Payment Orchestration — List recent charges and retrieve detailed metadata for specific transactions programmatically.
  • Customer Management — Access and monitor your customer database to keep your client records synchronized directly from the AI interface.
  • Charge Lifecycle Control — Create new charges and manage payment tokens using simple AI commands to facilitate transactions.
  • Financial Monitoring — Retrieve your real-time Stripe account balance to ensure your business liquidity is always visible.
  • Operational Oversight — Get instant summaries of recent payment activity and customer metadata via natural language.

The Stripe Legacy MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 Stripe Legacy tools available for LlamaIndex

When LlamaIndex connects to Stripe Legacy through Vinkius, your AI agent gets direct access to every tool listed below — spanning payment-gateway, transaction-management, financial-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_charge

Pass data as a JSON string. Create a new charge

create_customer

Create a new Stripe customer

create_refund

Create a refund for a charge

create_token

Pass data as a JSON string. Create a single-use token

get_balance

Check account balance

get_charge

Get charge details

get_customer

Get details for a specific customer

list_charges

List all Stripe charges

list_customers

List all Stripe customers

list_invoices

List all invoices

list_subscriptions

List all active subscriptions

Connect Stripe Legacy to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 11 tools from Stripe Legacy

Why Use LlamaIndex with the Stripe Legacy MCP Server

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

01

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

02

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

03

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

04

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

Stripe Legacy + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Stripe Legacy in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Stripe Legacy immediately.

01

"Check my current Stripe account balance."

02

"Show me all charges from the past 24 hours with their status and customer details."

03

"Get the current account balance and recent payout schedule."

Troubleshooting Stripe Legacy MCP Server with LlamaIndex

Common issues when connecting Stripe Legacy to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Stripe Legacy + LlamaIndex FAQ

Common questions about integrating Stripe Legacy MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Stripe Legacy tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

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