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ChartMogul MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Create Customer Record, Get Api Status, Get Arr History, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ChartMogul through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The ChartMogul app connector for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="ChartMogul Assistant",
            instructions=(
                "You help users interact with ChartMogul. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from ChartMogul"
        )
        print(result.final_output)

asyncio.run(main())
ChartMogul
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About 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.

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.

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

The ChartMogul MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 ChartMogul tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to ChartMogul through Vinkius, your AI agent gets direct access to every tool listed below — spanning mrr-tracking, saas-analytics, churn-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_customer_record

Add new customer

get_api_status

Check connection

get_arr_history

Analyze ARR

get_churn_rates

Analyze retention

get_customer_count_history

Monitor user growth

get_customer_details

Get customer profile

get_customer_ltv

Check Customer LTV

get_mrr_history

Analyze MRR

get_summary_metrics

Get key SaaS metrics

list_customers

List SaaS customers

list_data_sources

) connected to ChartMogul. List connected sources

list_subscription_plans

List billing plans

Connect ChartMogul to OpenAI Agents SDK via MCP

Follow these steps to wire ChartMogul into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from ChartMogul

Why Use OpenAI Agents SDK with the ChartMogul MCP Server

OpenAI Agents SDK provides unique advantages when paired with ChartMogul through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

ChartMogul + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the ChartMogul MCP Server delivers measurable value.

01

Automated workflows: build agents that query ChartMogul, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries ChartMogul, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through ChartMogul tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query ChartMogul to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for ChartMogul in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ChartMogul immediately.

01

"Show our MRR and ARR summary for the last 3 months."

02

"What is our current churn rate compared to last month?"

03

"Get the MRR contribution for customer 'john.doe@example.com'."

Troubleshooting ChartMogul MCP Server with OpenAI Agents SDK

Common issues when connecting ChartMogul to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ChartMogul + OpenAI Agents SDK FAQ

Common questions about integrating ChartMogul MCP Server with OpenAI Agents SDK.

01

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.
02

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.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.