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 LangChain 10 tools — connect in under 2 minutes

Name: MoonClerk
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect MoonClerk through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "moonclerk": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using MoonClerk, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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.

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.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the MoonClerk MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from MoonClerk via MCP

Why Use LangChain with the MoonClerk MCP Server

LangChain provides unique advantages when paired with MoonClerk through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine MoonClerk MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across MoonClerk queries for multi-turn workflows

MoonClerk + LangChain Use Cases

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

RAG with live data: combine MoonClerk tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query MoonClerk, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain MoonClerk tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every MoonClerk tool call, measure latency, and optimize your agent's performance

MoonClerk MCP Tools for LangChain (10)

These 10 tools become available when you connect MoonClerk to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting MoonClerk to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

MoonClerk + LangChain FAQ

Common questions about integrating MoonClerk MCP Server with LangChain.

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.