Bring Recurring Payments
to LangChain
Create your Vinkius account to connect MoonClerk to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the MoonClerk MCP Server?
Connect your MoonClerk account to your AI agent and take control of your recurring revenue and customer billing through natural conversation.
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.
How it works
- Subscribe to this server
- Enter your MoonClerk API Key
- Start managing your billing from Claude, Cursor, or any MCP client
Who is this for?
- Subscription-based Businesses — quickly check if a subscriber's payment has cleared or verify plan details.
- Support Teams — verify customer billing status and subscription info while providing assistance.
- Finance Operations — automate the retrieval of transaction and plan lists for reporting.
Built-in capabilities (10)
Get specific customer details
Get specific form details
Get details for a specific payment
Get specific plan details
Get specific subscription info
List MoonClerk customers
List payment forms
List all payments
List available payment plans
List active subscriptions
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with MoonClerk through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine MoonClerk MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across MoonClerk queries for multi-turn workflows
MoonClerk in LangChain
Why run MoonClerk with Vinkius?
The MoonClerk connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect MoonClerk using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
MoonClerk and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect MoonClerk to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
MoonClerk for LangChain
Every request between LangChain and MoonClerk is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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