Bring Mrr Tracking
to OpenAI Agents SDK
Learn how to connect ChartMogul to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the ChartMogul MCP Server?
Connect your ChartMogul account to any AI agent and take full control of your SaaS revenue intelligence and subscription monitoring workflows through natural conversation.
What you can do
- Revenue Orchestration — Retrieve real-time metrics for Monthly Recurring Revenue (MRR), Annual Run Rate (ARR), and Average Revenue Per Account (ARPA) programmatically
- Churn & Retention Intelligence — Monitor customer churn rates and LTV (Lifetime Value) metrics across custom time intervals to understand your business health in real-time
- Customer Lifecycle Management — List and manage your subscriber base programmatically, including retrieving detailed historical profiles and MRR contributions
- Infrastructure Monitoring — Access information about your connected data sources (Stripe, Braintree, etc.) and subscription plans to ensure high-fidelity billing oversight
- Trend Analysis — Query historical metrics over specific periods (day, week, month, quarter) to identify growth patterns and seasonal shifts directly through your agent
How it works
1. Subscribe to this server
2. Retrieve your API Key from your ChartMogul dashboard (Settings > API)
3. Start managing your SaaS performance from Claude, Cursor, or any MCP client
No more manual scrubbing through filtered charts or exporting CSVs for reporting. Your AI acts as your dedicated SaaS finance analyst and growth coordinator.
Who is this for?
- Founders & CEOs — instantly retrieve high-level revenue summaries and churn reports using natural language commands
- Finance Teams — monitor ARR trends and customer LTV without leaving your communication tools
- Data Analysts — automate the retrieval of structured SaaS metrics for internal reporting through simple AI queries
Built-in capabilities (12)
Add new customer
Check connection
Analyze ARR
Analyze retention
Monitor user growth
Get customer profile
Check Customer LTV
Analyze MRR
Get key SaaS metrics
List SaaS customers
) connected to ChartMogul. List connected sources
List billing plans
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 12 tools from ChartMogul through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ChartMogul, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ChartMogul in OpenAI Agents SDK
ChartMogul and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect ChartMogul to OpenAI Agents SDK 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 | 3,400+ 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 ChartMogul in OpenAI Agents SDK
The ChartMogul 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 OpenAI Agents SDK 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
ChartMogul for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the ChartMogul MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my ChartMogul API Key?
Log in to your account, navigate to Settings > API, and copy your unique secret key.
Are the MRR and ARR metrics real-time?
Yes! The metrics tools retrieve the most current calculations based on the data synced into your ChartMogul account.
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.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.