How do I get my HighRadius Access Token?

Log in to your HighRadius account, navigate to Settings > API Access, and generate a new token.

Can I reconcile payments automatically?

Yes! Use the reconcile_payment action with the payment ID and an array of invoice IDs to match payments to invoices.

Can I create disputes for invoice discrepancies?

Yes! Use the create_dispute action with a JSON body including the invoice ID, reason, and disputed amount.

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

Name: HighRadius
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HighRadius through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to HighRadius "
            "(11 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in HighRadius?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every HighRadius tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the HighRadius MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 11 tools from HighRadius with type-safe schemas

Why Use Pydantic AI with the HighRadius MCP Server

Pydantic AI provides unique advantages when paired with HighRadius through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your HighRadius integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your HighRadius connection logic from agent behavior for testable, maintainable code

HighRadius + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the HighRadius MCP Server delivers measurable value.

Type-safe data pipelines: query HighRadius with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple HighRadius tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query HighRadius and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock HighRadius responses and write comprehensive agent tests

HighRadius MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect HighRadius to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting HighRadius to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HighRadius + Pydantic AI FAQ

Common questions about integrating HighRadius MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your HighRadius MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.