How do I find my Highnote API Key?

Log in to your Highnote dashboard, navigate to **Settings > API**, and you will be able to generate and copy your API key. Make sure to distinguish between Test and Live keys based on your environment.

What environments are supported?

The integration supports both the **Test** (Sandbox) and **Live** (Production) environments. You must specify which one you are connecting to during setup to ensure the correct API endpoints are used.

Can I freeze a card through this integration?

Yes! Use the `update_card_status` tool and set the status to `FROZEN`. This will immediately prevent any new authorizations on that card. You can set it back to `ACTIVE` to unfreeze it.

Is the integration secure for financial data?

Absolutely. The integration uses industry-standard Basic Authentication over HTTPS. Your credentials and financial data are encrypted and stored securely within the Vinkius Cloud infrastructure.

Highnote MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: Highnote
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Highnote through the Vinkius — pass the Edge URL in the `mcps` parameter and every Highnote tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Highnote Specialist",
    goal="Help users interact with Highnote effectively",
    backstory=(
        "You are an expert at leveraging Highnote tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Highnote "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

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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 Highnote MCP Server

Connect your Highnote card platform to any AI agent and take full control of your card issuance, financial accounts, and ledger through natural conversation.

When paired with CrewAI, Highnote becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Highnote tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Account Holder Oversight — List and retrieve details for individuals and businesses holding accounts in your program.
Card Management — List virtual and physical cards, monitor their operational status, and freeze or close them directly from the chat.
Financial Account Monitoring — Access real-time balances and metadata for all your financial ledger accounts.
Transaction Tracking — List and inspect recent spending and processing transactions with detailed merchant metadata.
Ledger Insights — Retrieve individual ledger entries for reconciliation and audit purposes.
Program Visibility — List all available card products and programs configured in your Highnote account.

The Highnote MCP Server exposes 11 tools through the Vinkius. Connect it to CrewAI 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 Highnote to CrewAI via MCP

Follow these steps to integrate the Highnote MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 11 tools from Highnote

Why Use CrewAI with the Highnote MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Highnote through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Highnote + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Highnote MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Highnote for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Highnote, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Highnote tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Highnote against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Highnote MCP Tools for CrewAI (11)

These 11 tools become available when you connect Highnote to CrewAI via MCP:

get_api_profile

Retrieve information about the authenticated API user

get_financial_account

Get detailed balance and metadata for a specific financial account

get_payment_card_details

Get detailed information for a specific card

get_transaction_details

Get detailed metadata for a specific transaction

list_account_holders

Use this to find the unique ID for a person or business. List individuals and businesses who hold accounts in Highnote

list_card_products

List the different card programs (e.g., Consumer, Fleet) available in your Highnote account

list_financial_accounts

List all financial accounts and their current balances

list_financial_transactions

List recent spending and processing transactions

list_ledger_entries

Useful for reconciliation. List individual ledger entries for a financial account

list_payment_cards

Monitor card status and expiration details. List virtual and physical cards issued in your program

update_card_status

Valid statuses: ACTIVE, FROZEN, CLOSED. Change the status of a card (e.g., ACTIVE, FROZEN, CLOSED)

Example Prompts for Highnote in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Highnote immediately.

"List all financial accounts and show their current balances."

"Show the last 5 transactions for card ending in 4492."

"Freeze card ID 'card_992' immediately."

Troubleshooting Highnote MCP Server with CrewAI

Common issues when connecting Highnote to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Highnote + CrewAI FAQ

Common questions about integrating Highnote MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.