How do I get an OnPay API Token?

Log in to your OnPay management panel, and navigate to Settings > API to generate a static API token.

OnPay MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: OnPay
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="OnPay Specialist",
    goal="Help users interact with OnPay effectively",
    backstory=(
        "You are an expert at leveraging OnPay 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 OnPay "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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About OnPay MCP Server

Connect your OnPay account to empower your AI agents with payroll and HR capabilities. This server provides programmatic access to the OnPay API, allowing for seamless management of employee profiles, payment transactions, and recurring pay schedules.

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

What you can do

Employee Directory — List and inspect complete employee profiles and records
Transaction Monitoring — Access historical payment transactions and statuses in real-time
Payroll Orchestration — Monitor upcoming pay schedules and cycles for your company
Subscription Tracking — View active and past subscriptions managed through the platform
Accounting Integration — Retrieve item codes and company settings for financial reconciliation

The OnPay MCP Server exposes 8 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 OnPay to CrewAI via MCP

Follow these steps to integrate the OnPay 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 8 tools from OnPay

Why Use CrewAI with the OnPay MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with OnPay 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 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

OnPay + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries OnPay 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 OnPay, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain OnPay 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 OnPay against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

OnPay MCP Tools for CrewAI (8)

These 8 tools become available when you connect OnPay to CrewAI via MCP:

get_company_info

Get general company information

get_employee

Get employee details

get_transaction

Get transaction details

list_employees

List all employees

list_item_codes

List accounting item codes

list_pay_schedules

List payroll schedules

list_subscriptions

List subscriptions

list_transactions

List payment transactions

Example Prompts for OnPay in CrewAI

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

"List all active employees."

Troubleshooting OnPay MCP Server with CrewAI

Common issues when connecting OnPay 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

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

OnPay + CrewAI FAQ

Common questions about integrating OnPay 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.