HighRadius MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HighRadius as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to HighRadius. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in HighRadius?"
)
print(response)
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.
LlamaIndex agents combine HighRadius tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the HighRadius MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the HighRadius MCP Server
LlamaIndex provides unique advantages when paired with HighRadius through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HighRadius tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HighRadius tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HighRadius, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HighRadius tools were called, what data was returned, and how it influenced the final answer
HighRadius + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HighRadius MCP Server delivers measurable value.
Hybrid search: combine HighRadius real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HighRadius to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying HighRadius for fresh data
Analytical workflows: chain HighRadius queries with LlamaIndex's data connectors to build multi-source analytical reports
HighRadius MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect HighRadius to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting HighRadius to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHighRadius + LlamaIndex FAQ
Common questions about integrating HighRadius MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.