How to Use the Highnote MCP in CrewAI

Q: Can CrewAI agents resolve disputes using Highnote?

Yes. An agent can pull data with gettransactiondetails and compare it against the ledger to help your team resolve customer disputes.

Deploy a specialized crew of agents to manage card issuance and financial ops via the Highnote MCP server.

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Connect Highnote MCP to CrewAI

Create your Vinkius account to connect Highnote 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 Highnote with CrewAI

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Autonomous financial operations using CrewAI

Assign a monitor agent to watch for spending spikes using `list_financial_transactions`. If a limit is reached, a second agent can use `update_card_status` to prevent overages. Your crew works in tandem. It moves from observation to action without you needing to step in.

Collaborative account auditing with CrewAI

Have one agent list accounts with `list_financial_accounts` while another reconciles them using `list_ledger_entries`. They share memory to ensure the data is complete. This hierarchical approach prevents errors. Each agent focuses on a specific part of the financial stack, leading to higher precision.

Card program management in CrewAI

Use an agent to audit card programs with `list_card_products`. It can report on program health and suggest adjustments to your card issuance strategy. It turns high-level program management into a series of automated tasks. The agents handle the research, so you only see the final report.

Setup guide

Set up Highnote 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 Highnote tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Highnote 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 →

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="Highnote Analyst",
        goal="Access and analyze Highnote data via MCP.",
        backstory="Expert analyst with direct Highnote access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Highnote 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 Highnote. 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 Highnote MCP in CrewAI

Agents utilize shared memory to pass information like account holder IDs between tasks, ensuring the sequence of operations remains consistent.

Yes. An agent can pull data with `get_transaction_details` and compare it against the ledger to help your team resolve customer disputes.

It does. You can chain tools together so the output of one, like finding an account holder, informs the input of the next, like listing their cards.

Yes. You can use a tool filter to ensure specific agents only have access to read-only tools like `get_financial_account`.

All agent interactions occur within our secure sandbox. The sensitive financial data, such as card details, is never cached between agent sessions.

Use it with your favorite AI tools

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