Is the MoonClerk API read-only?

Yes, as per their official documentation, the MoonClerk API currently only supports retrieving information. Creating or modifying records must be done via their dashboard or forms.

Can I see details about recurring plans?

Yes! Use the `list_plans` tool to see all your payment plans and `get_plan` for detailed information about a specific one.

How do I find a specific subscription's status?

The `list_subscriptions` and `get_subscription` tools allow you to check the current state and recurrence details for any active customer subscription.

MoonClerk MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: MoonClerk
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="MoonClerk Specialist",
    goal="Help users interact with MoonClerk effectively",
    backstory=(
        "You are an expert at leveraging MoonClerk 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 MoonClerk "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 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 MoonClerk MCP Server

Connect your MoonClerk account to your AI agent and take control of your recurring revenue and customer billing through natural conversation.

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

Payment Tracking — List all transactions and get real-time status updates, amounts, and currency info.
Customer & Plan Management — Access customer profiles, recurring payment plans, and active subscriptions.
Form Oversight — List and inspect your payment forms to stay organized.
Deep Data Inspection — Fetch complete metadata for specific customers, payments, or plans using their unique IDs.

The MoonClerk MCP Server exposes 10 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 MoonClerk to CrewAI via MCP

Follow these steps to integrate the MoonClerk 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 10 tools from MoonClerk

Why Use CrewAI with the MoonClerk MCP Server

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

MoonClerk + CrewAI Use Cases

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

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

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

MoonClerk MCP Tools for CrewAI (10)

These 10 tools become available when you connect MoonClerk to CrewAI via MCP:

get_customer

Get specific customer details

get_form

Get specific form details

get_payment

Get details for a specific payment

get_plan

Get specific plan details

get_subscription

Get specific subscription info

list_customers

List MoonClerk customers

list_forms

List payment forms

list_payments

List all payments

list_plans

List available payment plans

list_subscriptions

List active subscriptions

Example Prompts for MoonClerk in CrewAI

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

"List my last 5 payments received on MoonClerk."

"What recurring payment plans do I have configured?"

"Show me the details for the payment form with ID form_123."

Troubleshooting MoonClerk MCP Server with CrewAI

Common issues when connecting MoonClerk 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.

MoonClerk + CrewAI FAQ

Common questions about integrating MoonClerk 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.