OnPay MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect OnPay through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"onpay": {
"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 OnPay, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 OnPay MCP Server
Connect your OnPay account to empower your AI agents with payroll and HR capabilities. This server provides programmatic access to the OnPay API, allowing for seamless management of employee profiles, payment transactions, and recurring pay schedules.
LangChain's ecosystem of 500+ components combines seamlessly with OnPay through native MCP adapters. Connect 8 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
- Employee Directory — List and inspect complete employee profiles and records
- Transaction Monitoring — Access historical payment transactions and statuses in real-time
- Payroll Orchestration — Monitor upcoming pay schedules and cycles for your company
- Subscription Tracking — View active and past subscriptions managed through the platform
- Accounting Integration — Retrieve item codes and company settings for financial reconciliation
The OnPay 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 OnPay to LangChain via MCP
Follow these steps to integrate the OnPay 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 OnPay via MCP
Why Use LangChain with the OnPay MCP Server
LangChain provides unique advantages when paired with OnPay through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine OnPay 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 OnPay queries for multi-turn workflows
OnPay + LangChain Use Cases
Practical scenarios where LangChain combined with the OnPay MCP Server delivers measurable value.
RAG with live data: combine OnPay tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query OnPay, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain OnPay tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every OnPay tool call, measure latency, and optimize your agent's performance
OnPay MCP Tools for LangChain (8)
These 8 tools become available when you connect OnPay to LangChain via MCP:
get_company_info
Get general company information
get_employee
Get employee details
get_transaction
Get transaction details
list_employees
List all employees
list_item_codes
List accounting item codes
list_pay_schedules
List payroll schedules
list_subscriptions
List subscriptions
list_transactions
List payment transactions
Example Prompts for OnPay in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with OnPay immediately.
"List all active employees."
Troubleshooting OnPay MCP Server with LangChain
Common issues when connecting OnPay to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOnPay + LangChain FAQ
Common questions about integrating OnPay MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
Connect OnPay with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OnPay to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.