ChartMogul MCP. Track MRR, ARR, and Churn Rates in Conversation
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ChartMogul MCP Server gives you full control over subscription analytics. Pull real-time SaaS metrics like MRR, ARR, and Churn Rate directly into your AI agent via natural conversation.
You can list customer profiles, check data sources, and track revenue trends without manual exports.
What your AI agents can do
Get arr metrics
Retrieves the Annualized Run Rate (ARR) metrics.
Get customer count metrics
Retrieves the total customer count over time.
Get mogul customer details
Gets detailed information for one specific customer ID.
Use get_mrr_metrics and get_arr_metrics to pull Monthly and Annual Recurring Revenue figures for any timeframe.
Use get_customer_count_metrics to track the total number of customers over time, and get_subscription_metrics for a full overview.
Use get_mogul_customer_details to pull specific, detailed information for one customer ID.
Use list_mogul_data_sources to list and verify every data source currently configured in your ChartMogul account.
Use list_mogul_customers to retrieve a complete list of every customer ID in your database.
Use ping_mogul_api to verify your connection and authentication status with ChartMogul.
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ChartMogul MCP Server: 8 Tools for SaaS Analytics
Use these tools to pull specific, granular data points—from customer lists to MRR trends—and feed them into your AI agent for analysis.
019d756dget arr metrics
Retrieves the Annualized Run Rate (ARR) metrics.
019d756dget customer count metrics
Retrieves the total customer count over time.
019d756dget mogul customer details
Gets detailed information for one specific customer ID.
019d756dget mrr metrics
Retrieves the Monthly Recurring Revenue (MRR) metrics.
019d756dget subscription metrics
Retrieves all high-level subscription metrics (MRR, ARR, etc.).
019d756dlist mogul customers
Lists all customer IDs in ChartMogul.
019d756dlist mogul data sources
Lists all data sources configured in your ChartMogul account.
019d756dping mogul api
Verifies connectivity and authentication status with the ChartMogul API.
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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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- Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector
ChartMogul MCP Server gives your AI agent full control over subscription analytics. You can pull real-time SaaS metrics like MRR, ARR, and Churn Rate right into a conversation. You'll list customer profiles, check data sources, and track revenue trends without exporting a damn thing.
Calculate Revenue Metrics
Use get_mrr_metrics and get_arr_metrics to pull Monthly Recurring Revenue and Annualized Run Rate figures for any timeframe. You can get a full overview of high-level subscription metrics using get_subscription_metrics.
Monitor Customer Growth
Track the total number of customers over time with get_customer_count_metrics, or get a full picture of your business with get_subscription_metrics. You can also list every single customer ID in your database using list_mogul_customers.
Deep Dive on Single Accounts
Need to know about one specific customer? get_mogul_customer_details pulls detailed info for a single customer ID.
Audit Account Connections
To audit your setup, list_mogul_data_sources lets you list every data source currently configured in your ChartMogul account.
Check API Health
Run ping_mogul_api to verify your connection and authentication status with the ChartMogul API.
How ChartMogul MCP Works
- 1 Subscribe to the server and provide your ChartMogul API Key (you get this from the ChartMogul Settings > API Keys page).
- 2 Connect your AI agent (Claude, Cursor, etc.) to the server endpoint.
- 3 Ask a natural language question, like 'What was the total MRR in Q1 2024?' Your agent runs the necessary tools and returns the data.
The bottom line is you talk to your AI agent, and it handles the API calls to ChartMogul, giving you the answers.
Who Is ChartMogul MCP For?
SaaS Founders and Executives who need instant, accurate business health checks. Financial Analysts who can audit revenue trends without exporting CSVs. Customer Success Managers who need to quickly verify a client's current plan status. Growth Teams that track churn rates and growth metrics daily.
Checks MRR and ARR trends to gauge overall business health and growth trajectory.
Audits quarterly revenue and customer count changes, verifying historical metrics without running complex SQL queries.
Pulls detailed subscription status and history for a specific client ID straight from the chat interface.
Verifies churn rates and customer acquisition metrics to report on quarterly performance.
What Changes When You Connect
- See your MRR and ARR trends instantly. Instead of running reports in a separate dashboard, your AI agent pulls the data using
get_mrr_metricsandget_arr_metrics, giving you a live, conversational readout. - Track customer growth history easily. Use
get_customer_count_metricsto see how many customers you've accumulated over time, without touching a spreadsheet. - Get deep customer profiles on demand. Need to know everything about one client? Call
get_mogul_customer_detailsto pull their full history directly into your chat. - Audit your data connections. Use
list_mogul_data_sourcesto list and check every data source feeding your metrics. It's a quick way to confirm your data pipelines are set up right. - Get a full metric overview.
get_subscription_metricspulls everything—MRR, ARR, and more—so you don't have to call five different tools just to see the big picture. - Verify your setup. Before running reports, use
ping_mogul_api. This simple check confirms your connection and authentication status, saving you time debugging.
Real-World Use Cases
Quarterly Review: Tracking Revenue Trends
The CFO needs to present Q3 revenue data. Instead of downloading three different reports (MRR, ARR, customer count) and manually merging them, they ask their agent: 'What were the MRR and ARR trends from July to September?' The agent calls get_mrr_metrics and get_arr_metrics, giving the executive a single, cohesive narrative.
Onboarding a New Client: Deep Dive Check
A Customer Success Manager needs to verify a high-value client's status before a call. They ask: 'What are the details for customer 'cust_123456'?'. The agent runs get_mogul_customer_details, providing the current plan, start date, and history instantly.
System Health Check
A developer needs to ensure the analytics dashboard is working. They start by asking the agent to run ping_mogul_api. The agent confirms connectivity. Then they ask for list_mogul_data_sources to audit the setup, solving the problem before any data is compromised.
Forecasting Growth: Churn Analysis
The Growth Manager needs to understand recent retention performance. They ask: 'Show me the customer count and churn rate for the last six months.' The agent uses get_customer_count_metrics and the comprehensive data from get_subscription_metrics to calculate and report the necessary metrics.
The Tradeoffs
Jumping between dashboards
Trying to find a customer's subscription status by checking the CRM, then switching to the billing portal, and finally running a separate report to see churn. You spend 20 minutes clicking and copying data.
→
Ask your agent directly: 'What is the current plan and churn rate for customer 'cust_123456'?'. The agent runs get_mogul_customer_details and get_subscription_metrics to give you the answer in one chat window.
Manual data export and merging
Pulling the MRR trend from one CSV, the customer count from a second, and the ARR from a third. Then, opening Excel and trying to make the three reports align chronologically.
→
Ask the agent to compare them: 'Compare the MRR trend to the ARR trend for Q2.' The agent uses get_mrr_metrics and get_arr_metrics and structures the comparison for you.
Ignoring API health checks
Running complex reports for a week, only to find out they failed because the API key expired or the data source connection broke. You waste time debugging the data, not the connection.
→
Always start by asking: 'Can you run the ping_mogul_api check and list my list_mogul_data_sources?' This verifies the connection before you start.
When It Fits, When It Doesn't
Use this if you need a single source of truth for SaaS metrics. You're looking for a narrative—'Our MRR grew by X because we added Y customers.' If your core need is to compare multiple, related metrics (like MRR vs. ARR, or customer count vs. churn rate), this is the right tool. Don't use this if you just need a single piece of raw data that doesn't require context (e.g., just a list of names). For that, a basic data list tool is fine. If you need to calculate advanced metrics like Customer Lifetime Value (LTV) from scratch, you might need a different data modeling tool. This server is for reporting and analyzing the metrics that already exist in ChartMogul.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ChartMogul. 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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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Building a full revenue picture shouldn't involve five different tabs and three different CSVs.
Right now, getting a complete picture of your subscription revenue means jumping between your billing dashboard, your growth analytics platform, and your customer database. You pull the MRR from one screen, then copy the customer count from another, and finally, you have to manually track the ARPA and churn rate in a third place. It's tedious, and you always end up with data that doesn't perfectly align.
With the ChartMogul MCP Server, you just ask your agent. You ask: 'What was the total MRR and customer growth for Q2?' The agent calls `get_mrr_metrics` and `get_customer_count_metrics`, and it spits out one answer. It's clean.
ChartMogul MCP Server: Get the full customer story in chat.
Manually looking up a customer's status means logging into the CRM, searching by email, finding the UUID, then going to the billing portal to see the plan, and finally checking the dedicated reporting tool to see their history. It's a mess of logins and copy-pasting.
Now, you just tell your agent: 'Show me details for customer 'cust_123456'.'. The agent uses `get_mogul_customer_details`, and you get the whole story—plan, history, status—in a single chat response. Period.
Common Questions About ChartMogul MCP
How do I check if the ChartMogul MCP Server is connected? +
Run ping_mogul_api. This single tool verifies your API key and connectivity status. If it works, you know you're good to go before running any reports.
What's the difference between `get_mrr_metrics` and `get_subscription_metrics`? +
get_mrr_metrics pulls just the Monthly Recurring Revenue numbers. get_subscription_metrics gives a wider set of metrics, including MRR, ARR, ARPA, and more, for a comprehensive view.
Can I list all customers using `list_mogul_customers`? +
Yes. list_mogul_customers retrieves a full list of every customer UUID in your ChartMogul account, which is the first step before you can pull specific details.
How do I track revenue trends over time? +
You use get_mrr_metrics or get_arr_metrics and specify the time frame in your prompt. The agent handles the historical data retrieval for you.
Do I need to check my data sources before running reports? +
Yes. Always run list_mogul_data_sources first. It lists all configured data sources, letting you audit the data feeding your metrics and confirm everything is connected.
How do I use `ping_mogul_api` to check my connection status? +
Running ping_mogul_api confirms that your AI client can reach the ChartMogul API. A successful response means your API key and network connection are working correctly, letting you proceed with metric queries.
What is the difference between `get_mrr_metrics` and `get_subscription_metrics`? +
I'm sorry, that question is already listed. You can use get_subscription_metrics to get a comprehensive view of all high-level data points, while get_mrr_metrics focuses specifically on Monthly Recurring Revenue.
If I need customer details, should I use `get_mogul_customer_details` or `list_mogul_customers`? +
Use list_mogul_customers when you need a roster of all IDs. If you already have a specific customer UUID and need their full profile—like their plan or start date—then get_mogul_customer_details is the right tool.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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