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HighRadius MCP Server for LangChain 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools Framework

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.

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({
        "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())
HighRadius
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 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.

01

Install dependencies

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

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine HighRadius MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

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

02

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

03

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

04

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:

01

create_dispute

Body should include invoice_id, reason, and amount. Create a new dispute record

02

get_cash_application_status

Get the current status of the cash application process

03

get_customer

Get details of a specific customer

04

get_invoice

Get details of a specific invoice

05

get_payment

Get details of a specific payment

06

list_customers

List all customers in the system

07

list_deductions

List all deductions in the system

08

list_disputes

List all disputes in the system

09

list_invoices

Use this to get an overview of outstanding receivables. List all invoices in the system

10

list_payments

List all payment records

11

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.

01

"Show me all outstanding invoices."

02

"Reconcile payment PAY-123 against invoices INV-001 and INV-002."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HighRadius + LangChain FAQ

Common questions about integrating HighRadius MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect HighRadius to LangChain

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.