Bring Subscription Metrics
to LangChain
Learn how to connect ProfitWell to LangChain and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your ProfitWell Private API Token from your integration settings
- Start managing your subscription metrics from Claude, Cursor, or any MCP-compatible client
No more manual exporting of CSV results for basic churn checks. Your AI acts as a dedicated revenue analyst or growth coordinator.
Who is this for?
- Founders & Growth Leads — quickly retrieve revenue summaries and monitor churn trends without switching apps.
- Finance Operations Teams — automate the retrieval of subscription metadata and track retention metrics via natural conversation.
- Customer Success Managers — streamline the retrieval of customer history and monitor account health directly within the chat.
Built-in capabilities (12)
Mark churn event
Add new subscriber
g. test accounts). Exclude from metrics
Get API status
Get billing history
Get Lifetime Value
Get daily growth stats
Get monthly financial stats
Get churn metrics
List product plans
Reverse a cancellation
Update subscription
Why LangChain?
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.
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The largest ecosystem of integrations, chains, and agents. combine ProfitWell 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 ProfitWell queries for multi-turn workflows
ProfitWell in LangChain
ProfitWell and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect ProfitWell to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ProfitWell in LangChain
The ProfitWell 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
ProfitWell for LangChain
Every tool call from LangChain to the ProfitWell MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can my AI automatically find the MRR and churn metrics for the current month?
Yes! Use the get_monthly_metrics tool. Your agent will respond with complete metadata for all key metrics, including MRR, churned revenue, and active customers in seconds.
How do I find my ProfitWell Private API Token?
Log in to your ProfitWell/Paddle account, navigate to Account Settings > Integrations, and look for the ProfitWell API card to find your Private Token.
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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