How to Use the Chargify MCP in LangChain

Use LangChain to build billing chains that react to Chargify subscription states and MRR changes in real-time.

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Connect Chargify MCP to LangChain

Create your Vinkius account to connect Chargify to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Chargify with LangChain

Ask AI about this MCP

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Claude

Perplexity

Chain Chargify logic into your LangChain workflows

Connect your agents directly to subscription data. Use `get_subscription_details` to pass MRR data through your chain, letting the next step decide if a customer needs an upsell. Pass the output from `list_customers` into your chain to trigger downstream actions. You build multi-step pipelines where the agent logic dictates the flow based on live billing results.

Automate billing state transitions with LangChain

Trigger plan changes or subscription holds without manual intervention. The agent invokes `update_subscription_product` or `hold_subscription` based on the logic you define in your chain. Keep your workflow moving by linking these tools together. If a payment fails, your agent catches the flag from `get_subscription_details` and executes a hold immediately.

Observe your Chargify data flow inside LangSmith

Trace every tool call within your LangChain agent. You see exactly what `list_catalog_products` returns and how it shapes the final decision. Debug your agent's reasoning by inspecting the inputs and outputs of every MCP server call. This visibility ensures your billing automation behaves exactly as you programmed it.

Setup guide

Set up Chargify MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Chargify tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "chargify-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Chargify transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chargify. 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.

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Common questions about Chargify MCP in LangChain

Install the MCP adapters and point your client to the Vinkius endpoint. You then pass the tool list directly into your agent constructor to enable full access to billing records.

Yes, you build chains that handle multi-step billing tasks. The agent evaluates the subscription state and calls the appropriate tool to switch plans or pause access.

Your customer email and billing records stay within the encrypted session. Only the specific JSON payloads requested by your agent are ever transmitted.

The server maps your site handles directly. You specify the site context in your agent code to ensure you hit the right account.

You invoke the hold tool to stop future billing cycles. The agent verifies the current status first to prevent accidental interruptions.

Use it with your favorite AI tools

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