Bring Saas Metrics
to LangChain
Create your Vinkius account to connect ChartMogul to LangChain and start using all 8 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 ChartMogul MCP Server?
Connect your ChartMogul account to any AI agent and take full control of your subscription analytics through natural conversation. Access real-time SaaS metrics like MRR, ARR, and Churn Rate.
What you can do
- Metrics Oversight — Retrieve all high-level subscription metrics (MRR, ARR, ARPA, ASP) natively
- Growth Intelligence — Access detailed customer count and churn rate data flawlessly
- Customer Deep-Dives — List and retrieve complete profiles for any customer in your database securely
- Data Logistics — List and audit all configured data sources providing information to your account flawlessly
- Revenue Analysis — Track MRR and ARR trends over specific timeframes directly within your workspace
- System Verification — Verify API connectivity and account status using the built-in ping and diagnostic tools
How it works
- Subscribe to this server
- Enter your ChartMogul API Key (obtained from Settings > API Keys)
- Start querying your SaaS metrics from Claude, Cursor, or any MCP-compatible client
Who is this for?
- SaaS Founders & Executives — monitor business health and revenue growth using natural language
- Financial Analysts — audit MRR and ARR trends without manual data exports
- Customer Success Managers — quickly look up customer subscription status and history straight from their chat interface
- Growth Teams — verify churn rates and customer growth metrics for reporting
Built-in capabilities (8)
Retrieve Annualized Run Rate metrics
Retrieve total customer count metrics over time
Get detailed information for a specific customer
Retrieve Monthly Recurring Revenue metrics
Retrieve all high-level subscription metrics (MRR, ARR, etc)
List all customers in ChartMogul
List all data sources configured in the account
Verify connectivity and authentication with the ChartMogul API
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with ChartMogul through native MCP adapters. Connect 8 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 ChartMogul 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 ChartMogul queries for multi-turn workflows
ChartMogul in LangChain
Why run ChartMogul with Vinkius?
The ChartMogul 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 8 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 ChartMogul using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
ChartMogul and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect ChartMogul 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
ChartMogul for LangChain
Every request between LangChain and ChartMogul 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
Can I see my current MRR through the agent?
Yes! Use the get_mrr_metrics tool with a start and end date. The agent will return the MRR data for that period directly from ChartMogul.
How do I check the subscription status of a specific customer?
First, use list_mogul_customers to find the customer's UUID, then use the get_mogul_customer_details tool to see their active plans and history.
Where do I find my ChartMogul API Key?
Log in to your ChartMogul account and go to Settings > API Keys. You can create and copy your API key from there.
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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