Which API Key do I use?

You must use your Secret Key (Live or Test mode). Do not use the Publishable Key as it lacks permission to perform backend actions across the Ping++ network.

How do payment channels differ?

Each channel (e.g. `alipay_web`, `wx_pub`, `upacp`) corresponds to a specific environment (Web, WeChat Official Account, UnionPay App). Provide the appropriate channel string when creating a charge.

Does this handle RSA Signatures automatically?

For core operations covered by the standard MCP, API keys are sufficient. Operations requiring dedicated RSA enterprise signing may need custom webhook verifications.

Ping++ MCP Server for LangChain 7 tools — connect in under 2 minutes

Name: Ping++
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 7 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Ping++ through 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({
        "ping": {
            "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 Ping++, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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 Ping++ MCP Server

Empower your Agent to seamlessly manage Chinese payment ecosystems with Ping++, the ultimate multi-channel payment aggregator. Connect to WeChat Pay, Alipay, UnionPay, and multiple other networks through a single, elegant interface, replacing complex point-to-point integrations.

LangChain's ecosystem of 500+ components combines seamlessly with Ping++ through native MCP adapters. Connect 7 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

Unified Charges — Create and manage transactions across any supported payment channel
Refund Management — Process and retrieve refunds across any network without learning specific gateway APIs
Customer Synchronization — Create and track customer profiles and saved payment methods across platforms

The Ping++ MCP Server exposes 7 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 Ping++ to LangChain via MCP

Follow these steps to integrate the Ping++ 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 7 tools from Ping++ via MCP

Why Use LangChain with the Ping++ MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Ping++ 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 Ping++ queries for multi-turn workflows

Ping++ + LangChain Use Cases

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

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

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

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

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

Ping++ MCP Tools for LangChain (7)

These 7 tools become available when you connect Ping++ to LangChain via MCP:

create_charge

Requires the order_no, amount, app ID, channel, currency, subject, and body. Create a new charge (payment request)

create_customer

Create a new Customer

create_refund

Create a refund for a specific charge

list_charges

List existing charges

list_customers

List existing Customers

retrieve_charge

Retrieve the details of an existing charge

retrieve_customer

Retrieve Customer details

Example Prompts for Ping++ in LangChain

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

"List the last 5 successful charges for my Ping++ app."

"Create a new refund of 100 CNY for charge ID ch_xyz789."

"Show me the details for customer ID cus_12345."

Troubleshooting Ping++ MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Ping++ + LangChain FAQ

Common questions about integrating Ping++ 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.