Integrate ChartMogul with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Can I filter metrics by specific date ranges?

Absolutely. Use the getsummarymetrics tool and provide start-date and end-date parameters to analyze specific growth periods.

Understand your subscription metrics with MRR tracking, churn analysis, and cohort reports that reveal growth opportunities.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create customer record on ChartMogul

Add new customer

get

Get api status on ChartMogul

Check connection

get

Get arr history on ChartMogul

Analyze ARR

get

Get churn rates on ChartMogul

Analyze retention

get

Get customer count history on ChartMogul

Monitor user growth

get

Get customer details on ChartMogul

Get customer profile

get

Get customer ltv on ChartMogul

Check Customer LTV

get

Get mrr history on ChartMogul

Analyze MRR

get

Get summary metrics on ChartMogul

Get key SaaS metrics

list

List customers on ChartMogul

List SaaS customers

list

List data sources on ChartMogul

) connected to ChartMogul. List connected sources

list

List subscription plans on ChartMogul

List billing plans

Security & Code Integrity Audit

Every tool in the ChartMogul MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Can I filter metrics by specific date ranges?

Absolutely. Use the get_summary_metrics tool and provide start-date and end-date parameters to analyze specific growth periods.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

Does the AI train on my tools or API data?

No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.

How Chatbots Interact with ChartMogul

Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the ChartMogul infrastructure.

Optimizing mrr tracking with Claude

Deploy the ChartMogul toolkit to manage mrr tracking. The integration offers robust endpoints for ChatGPT to control data analytics settings.

Managing saas analytics inside Claude

The ChartMogul server supports direct MCP connections for saas analytics. This provides Claude with the required permissions to execute data analytics functions.

ChartMogul. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

Claude DesktopIDE

Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

GitHub Copilot in VS Code with Agent mode and MCP support.

WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

Autonomous AI coding agent that runs inside VS Code.

Claude CodeCLI

Anthropic's agentic CLI for terminal-first development.

OpenAI Agents SDKSDK

Python SDK for building production-grade OpenAI agent workflows.

Google ADKSDK

Google's framework for building production AI agents.

Pydantic AISDK

Type-safe agent development for Python with first-class MCP support.

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TypeScript toolkit for building AI-powered web applications.

Mastra AISDK

TypeScript-native agent framework for modern web stacks.

CrewAIFramework

Python framework for orchestrating collaborative AI agent crews.

LangChainFramework

Leading Python framework for composable LLM applications.

LlamaIndexFramework

Data-aware AI agent framework for structured and unstructured sources.

AutoGenFramework

Microsoft's framework for multi-agent collaborative conversations.

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