Can I check if a specific bill has been paid?

Yes! Use the `get_bill` tool with the Bill ID. Your agent will fetch the latest status, including whether it is 'paid' or 'due'.

How do I create a new payment collection?

Simply ask the agent to `create_collection` and provide a title. It will create the collection in your Billplz account and return the new Collection ID.

Can I see the list of FPX banks supported for online banking?

Yes. Use the `get_fpx_banks` tool to retrieve a real-time list of all banks currently supported by the Billplz FPX gateway.

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

Name: Billplz
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Billplz through Vinkius, pass the Edge URL in the `mcps` parameter and every Billplz 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

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Billplz Specialist",
    goal="Help users interact with Billplz effectively",
    backstory=(
        "You are an expert at leveraging Billplz 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 Billplz "
        "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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* 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 Billplz MCP Server

Connect your Billplz account to any AI agent and orchestrate your payment workflows through natural conversation.

When paired with CrewAI, Billplz becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Billplz 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

Collection Management — List, create, and inspect collections to organize your bills.
Bill Creation & Tracking — Query, create, and delete individual bills and track payment statuses.
Transaction Oversight — Retrieve detailed transactions for specific bills to reconcile payments.
Bank Account Auditing — Check bank account details attached to collections.
FPX Insights — List available FPX banks supported by the platform.

The Billplz 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 Billplz to CrewAI via MCP

Follow these steps to integrate the Billplz 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 Billplz

Why Use CrewAI with the Billplz MCP Server

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

Billplz + CrewAI Use Cases

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

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

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

Billplz MCP Tools for CrewAI (11)

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

activate_collection

Activate a collection

create_bill

Create a new bill for collection

create_collection

Create a new bill collection

deactivate_collection

Deactivate a collection

delete_bill

Delete an unpaid bill

get_bank_account

Get bank account details for a collection

get_bill

Get specific bill details

get_collection

Get specific collection details

get_fpx_banks

List supported FPX Banks

list_collections

List all bill collections

list_transactions

List transactions for a specific bill

Example Prompts for Billplz in CrewAI

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

"List all active collections."

"Show the status of bill bill_99283."

"List the last 5 transactions for bill_99283."

Troubleshooting Billplz MCP Server with CrewAI

Common issues when connecting Billplz 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.

Billplz + CrewAI FAQ

Common questions about integrating Billplz 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.