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ProfitWell MCP Server for LangChainGive LangChain instant access to 12 tools to Churn Subscription, Create Subscription, Exclude Customer, and more

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for LangChain

The ProfitWell MCP Server for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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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({
        "profitwell": {
            "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 ProfitWell, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
ProfitWell
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ProfitWell MCP Server

Connect your ProfitWell (Paddle Metrics) account to any AI agent and take full control of your subscription revenue orchestration through natural conversation. ProfitWell provides a world-class platform for subscription intelligence, and this integration allows you to retrieve real-time metrics (MRR, Churn, LTV), manage customer history, and update subscription data directly from your chat interface.

LangChain's ecosystem of 500+ components combines seamlessly with ProfitWell through native MCP adapters. Connect 12 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

  • Metric & Revenue Orchestration — Retrieve monthly and daily subscription metrics programmatically to maintain a clear overview of your business growth.
  • Customer Lifecycle Intelligence — Access and monitor detailed customer history, including subscription changes and churn events directly from the AI interface.
  • Subscription & Manual Data Control — Create, update, and 'un-churn' subscriptions via natural language to keep your revenue data synchronized.
  • Retention & LTV Monitoring — Retrieve retention metrics and customer lifetime value (LTV) metadata to ensure your unit economics are always optimized.
  • Operational Monitoring — Track system health and manage plan metadata using simple AI commands.

The ProfitWell MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 ProfitWell tools available for LangChain

When LangChain connects to ProfitWell through Vinkius, your AI agent gets direct access to every tool listed below — spanning subscription-metrics, churn-analysis, mrr-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

churn

Churn subscription on ProfitWell

Mark churn event

create

Create subscription on ProfitWell

Add new subscriber

exclude

Exclude customer on ProfitWell

g. test accounts). Exclude from metrics

get

Get account status on ProfitWell

Get API status

get

Get customer history on ProfitWell

Get billing history

get

Get customer ltv on ProfitWell

Get Lifetime Value

get

Get daily metrics on ProfitWell

Get daily growth stats

get

Get monthly metrics on ProfitWell

Get monthly financial stats

get

Get retention stats on ProfitWell

Get churn metrics

list

List subscription plans on ProfitWell

List product plans

unchurn

Unchurn subscription on ProfitWell

Reverse a cancellation

update

Update subscription on ProfitWell

Update subscription

Connect ProfitWell to LangChain via MCP

Follow these steps to wire ProfitWell into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from ProfitWell via MCP

Why Use LangChain with the ProfitWell MCP Server

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

01

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

02

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

03

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

04

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

ProfitWell + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ProfitWell in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with ProfitWell immediately.

01

"List all monthly metrics for my account."

02

"Show me our MRR trend for the last 6 months with churn and expansion breakdown."

03

"Identify the top 10 customers at risk of churning based on engagement and usage patterns."

Troubleshooting ProfitWell MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

ProfitWell + LangChain FAQ

Common questions about integrating ProfitWell MCP Server with LangChain.

01

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.
02

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.
03

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.

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