HighRadius MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect HighRadius 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({
"highradius": {
"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 HighRadius, 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 HighRadius MCP Server
Connect HighRadius to any AI agent and automate your Order-to-Cash operations -- manage invoices, reconcile payments, handle disputes, and track deductions through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with HighRadius through native MCP adapters. Connect 11 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
- Invoice Management -- List and inspect all invoices with amounts and due dates
- Payment Tracking -- View all payments received and their reconciliation status
- Payment Reconciliation -- Match payments to invoices automatically
- Customer Management -- View customer profiles and outstanding balances
- Dispute Handling -- Create and track disputes for invoice discrepancies
- Deduction Tracking -- Monitor short payments and adjustments
The HighRadius MCP Server exposes 11 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 HighRadius to LangChain via MCP
Follow these steps to integrate the HighRadius 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 11 tools from HighRadius via MCP
Why Use LangChain with the HighRadius MCP Server
LangChain provides unique advantages when paired with HighRadius through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine HighRadius 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 HighRadius queries for multi-turn workflows
HighRadius + LangChain Use Cases
Practical scenarios where LangChain combined with the HighRadius MCP Server delivers measurable value.
RAG with live data: combine HighRadius tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query HighRadius, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain HighRadius tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every HighRadius tool call, measure latency, and optimize your agent's performance
HighRadius MCP Tools for LangChain (11)
These 11 tools become available when you connect HighRadius to LangChain via MCP:
create_dispute
Body should include invoice_id, reason, and amount. Create a new dispute record
get_cash_application_status
Get the current status of the cash application process
get_customer
Get details of a specific customer
get_invoice
Get details of a specific invoice
get_payment
Get details of a specific payment
list_customers
List all customers in the system
list_deductions
List all deductions in the system
list_disputes
List all disputes in the system
list_invoices
Use this to get an overview of outstanding receivables. List all invoices in the system
list_payments
List all payment records
reconcile_payment
Provide the payment ID and an array of invoice IDs to reconcile. Reconcile a payment against one or more invoices
Example Prompts for HighRadius in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with HighRadius immediately.
"Show me all outstanding invoices."
"Reconcile payment PAY-123 against invoices INV-001 and INV-002."
"Create a dispute for invoice INV-003 with reason 'Incorrect pricing' and amount $2,000."
Troubleshooting HighRadius MCP Server with LangChain
Common issues when connecting HighRadius to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersHighRadius + LangChain FAQ
Common questions about integrating HighRadius 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 HighRadius 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 HighRadius to LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
