How to Use the HighRadius MCP in CrewAI

Q: Can CrewAI agents coordinate HighRadius payment reconciliations?

Yes. One agent can gather open balances using listinvoices, while another takes the resulting data and executes the reconciliation step.

Deploy autonomous finance crews in CrewAI that monitor HighRadius accounts receivable and file disputes without human input.

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Connect HighRadius MCP to CrewAI

Create your Vinkius account to connect HighRadius to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup HighRadius with CrewAI

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Perplexity

Multi-agent AR operations

CrewAI lets you split HighRadius financial tasks across specialized roles. You assign a researcher agent to continuously monitor `list_payments` and identify new incoming cash. Once it spots a deposit, it passes the data to an analyst agent. That agent runs `get_invoice` to verify the expected amount, then hands the exact IDs to an execution agent that fires `reconcile_payment`.

Autonomous dispute management

Handling HighRadius deductions is a massive time sink. The MCP Server handles the API translation while your manager agent oversees the deduction queue by polling `list_deductions`. When the manager spots an invalid short pay, it delegates the task to a resolution agent. This worker pulls the customer history via `get_customer` and instantly executes `create_dispute` with the required invoice ID and reason.

Continuous cash app monitoring

Stop manually checking HighRadius for cleared funds. A dedicated monitor agent can run on a loop, checking `get_cash_application_status` for specific accounts. If the status changes to closed, the agent pings your sales crew to release the credit hold. The entire workflow happens in the background while your team focuses on actual sales.

Setup guide

Set up HighRadius MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke HighRadius tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="HighRadius Analyst",
    goal="Access and analyze HighRadius data via MCP.",
    backstory="Expert analyst with direct HighRadius access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent HighRadius transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="HighRadius Analyst",
        goal="Access and analyze HighRadius data via MCP.",
        backstory="Expert analyst with direct HighRadius access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent HighRadius transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HighRadius. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about HighRadius MCP in CrewAI

Pass your Vinkius URL directly into the endpoints array when defining your agent. For selective tool access, use the HTTP class from the MCP module with a tool filter.

Yes. One agent can gather open balances using `list_invoices`, while another takes the resulting data and executes the reconciliation step.

No. The MCP standard exposes all eleven tools natively. Your agents read the descriptions and decide when to call them automatically.

The MCP Server supports stdio, SSE, and Streamable HTTP. Most cloud deployments use HTTP for simple, persistent connections to the endpoint.

Customer names and outstanding balances are processed inside a zero-trust execution boundary. The connection drops the moment the agent finishes reading the API response, leaving zero trace.

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