How to Use the MoonClerk MCP in CrewAI
Deploy autonomous crews to monitor MoonClerk transactions and customer billing cycles with CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect MoonClerk MCP to CrewAI
Create your Vinkius account to connect MoonClerk 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.
Autonomous billing monitoring
Assign a monitor agent to watch your subscription ledger using `list_subscriptions`. The crew watches for status changes without human input. When the agent detects a change, it triggers the rest of the crew. You build an automated response system that runs in the background.
Specialized agent collaboration
Use a researcher agent to pull detailed customer data with `get_customer` while a moderator agent prepares the summary. They share context to finish tasks faster. This hierarchical execution keeps your billing operations organized. Each agent has a specific job and only uses the tools required for that role.
Scalable transaction auditing
The crew audits your entire payment history using `list_payments`. It flags anomalies and reports them back to your team automatically. It is built for high-volume operations. You don't have to manually check the books when your agents are constantly reconciling the data.
Set up MoonClerk MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke MoonClerk tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="MoonClerk Analyst",
goal="Access and analyze MoonClerk data via MCP.",
backstory="Expert analyst with direct MoonClerk access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent MoonClerk transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="MoonClerk Analyst",
goal="Access and analyze MoonClerk data via MCP.",
backstory="Expert analyst with direct MoonClerk access.",
tools=mcp_tools,
)
task = Task(
description="List recent MoonClerk transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MoonClerk. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about MoonClerk MCP in CrewAI
Use it with your favorite AI tools
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Start using the MoonClerk MCP today
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