Can I process a refund through the agent?

Yes! Use the `refund_chargedesk_payment` tool with the charge ID. You can also specify an optional amount for a partial refund. The agent will trigger the refund on the original gateway.

How do I see all payments from a specific customer?

Use the `get_customer_details` tool with the unique customer ID. Your agent will fetch the profile, which includes a list of all successful and failed charges.

Where do I find my ChargeDesk Secret Key?

Log in to your ChargeDesk account and go to **Account Settings -> API**. You can view and copy your Secret Key from there.

ChargeDesk MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: ChargeDesk
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect ChargeDesk through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 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({
        "chargedesk": {
            "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 ChargeDesk, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 ChargeDesk MCP Server

Connect your ChargeDesk account to any AI agent and take full control of your billing and payment operations across Stripe, PayPal, Braintree, and more through natural conversation. Streamline customer support and financial management.

LangChain's ecosystem of 500+ components combines seamlessly with ChargeDesk through native MCP adapters. Connect 8 tools via the 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

Unified Payment Oversight — List and retrieve details for charges across all connected payment gateways natively
Refund Management — Process full or partial refunds for specific charges securely
Customer Intelligence — Access and monitor customer profiles and their complete billing history flawlessly
Subscription Tracking — List and retrieve details for active and inactive customer subscriptions securely
Gateway Auditing — List all connected gateways and verify their operational status flawlessly
Notification Management — Access and review configured webhooks and account alerts directly within your workspace

The ChargeDesk MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain 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 ChargeDesk to LangChain via MCP

Follow these steps to integrate the ChargeDesk MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from ChargeDesk via MCP

Why Use LangChain with the ChargeDesk MCP Server

LangChain provides unique advantages when paired with ChargeDesk through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine ChargeDesk 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 ChargeDesk queries for multi-turn workflows

ChargeDesk + LangChain Use Cases

Practical scenarios where LangChain combined with the ChargeDesk MCP Server delivers measurable value.

RAG with live data: combine ChargeDesk tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query ChargeDesk, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain ChargeDesk tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every ChargeDesk tool call, measure latency, and optimize your agent's performance

ChargeDesk MCP Tools for LangChain (8)

These 8 tools become available when you connect ChargeDesk to LangChain via MCP:

get_charge_details

Get detailed information for a specific charge

get_customer_details

Get detailed information for a specific customer

list_chargedesk_charges

List recent charges from all gateways

list_chargedesk_customers

List all customers in your account

list_chargedesk_subscriptions

List active and inactive subscriptions

list_chargedesk_webhooks

List configured webhooks

list_connected_gateways

List all connected payment gateways

refund_chargedesk_payment

Refund a specific charge

Example Prompts for ChargeDesk in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with ChargeDesk immediately.

"Show me the last 10 charges in ChargeDesk."

"Refund $25.00 for charge ID 'ch_123456'."

"List all my connected payment gateways."

Troubleshooting ChargeDesk MCP Server with LangChain

Common issues when connecting ChargeDesk to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ChargeDesk + LangChain FAQ

Common questions about integrating ChargeDesk MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.