How do I get a Client ID and Secret for Getpaid?

Log in to your Getpaid dashboard, navigate to Settings > Integrations, and you can create a new API integration to retrieve your Client ID and Client Secret.

In what units should I provide the payment amount?

The API uses minor units for currency. For example, to charge $1.00 USD, you must provide the value 100 (cents).

Can I process refunds through the agent?

Yes! Use the 'refund_billing_payment' tool and provide the specific Payment ID. You can also specify a custom amount for a partial refund.

How do I check if a checkout session was completed?

Use the 'get_checkout_status' tool with the Checkout ID. The agent will return the current state, such as 'completed', 'pending', or 'expired'.

Getpaid MCP Server for LlamaIndex 12 tools — connect in under 2 minutes

Name: Getpaid
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Getpaid. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())

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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 Getpaid MCP Server

Connect your Getpaid account to any AI agent to automate your billing, payment processing, and checkout workflows through the Model Context Protocol (MCP). Getpaid is a modern payment platform designed for SaaS, marketplaces, and service businesses to handle global transactions with ease. This MCP server enables you to track payments, manage customer records, and initiate new checkout sessions directly through natural conversation.

LlamaIndex agents combine Getpaid tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.

Key Features

Payment Oversight — List all processed payments, fetch detailed metadata including status and timestamps, and monitor revenue flow instantly.
Checkout Automation — Create new checkout sessions for products or services and retrieve secure payment links programmatically.
Refund Management — Process full or partial refunds for captured payments directly from your chat interface.
Customer & Invoice Tracking — Access your billing database, retrieve detailed customer profiles, and monitor generated invoices.
Subscription Insights — List active and inactive recurring billing plans to understand your long-term revenue health.
Webhook Visibility — Monitor configured webhooks to ensure your internal systems are receiving real-time payment notifications.
Real-time Synchronization — Keep your financial operations accessible to your AI assistant without leaving your primary workspace.

The Getpaid MCP Server exposes 12 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.

How to Connect Getpaid to LlamaIndex via MCP

Follow these steps to integrate the Getpaid MCP Server with LlamaIndex.

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 12 tools from Getpaid

Why Use LlamaIndex with the Getpaid MCP Server

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

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

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

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

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

Getpaid + LlamaIndex Use Cases

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

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

Data enrichment: query Getpaid 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 Getpaid for fresh data

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

Getpaid MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect Getpaid to LlamaIndex via MCP:

create_checkout_session

Initiate checkout

get_account_details

Get account identity

get_checkout_status

Check checkout status

get_customer_details

Get customer metadata

get_payment_details

Get payment metadata

list_billing_customers

List customers

list_billing_invoices

List invoices

list_billing_payments

List all payments

list_billing_subscriptions

List recurring plans

list_payment_webhooks

List webhook configs

refund_billing_payment

Process a refund

verify_api_connection

Check connection

Example Prompts for Getpaid in LlamaIndex

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

"List all payments processed today."

"Create a checkout session for $25.00 USD."

"Refund payment 'pay_98765' for the full amount."

Troubleshooting Getpaid MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Getpaid + LlamaIndex FAQ

Common questions about integrating Getpaid 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 Getpaid tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.