ChartMogul MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ChartMogul"
)
print(result.final_output)
asyncio.run(main())
* 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 subscription analytics through natural conversation. Access real-time SaaS metrics like MRR, ARR, and Churn Rate.
The OpenAI Agents SDK auto-discovers all 8 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
- 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
The ChartMogul MCP Server exposes 8 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.
How to Connect ChartMogul to OpenAI Agents SDK via MCP
Follow these steps to integrate the ChartMogul MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 8 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.
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
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query ChartMogul, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ChartMogul, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ChartMogul tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ChartMogul to resolve tickets, look up records, and update statuses without human intervention
ChartMogul MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect ChartMogul to OpenAI Agents SDK via MCP:
get_arr_metrics
Retrieve Annualized Run Rate metrics
get_customer_count_metrics
Retrieve total customer count metrics over time
get_mogul_customer_details
Get detailed information for a specific customer
get_mrr_metrics
Retrieve Monthly Recurring Revenue metrics
get_subscription_metrics
Retrieve all high-level subscription metrics (MRR, ARR, etc)
list_mogul_customers
List all customers in ChartMogul
list_mogul_data_sources
List all data sources configured in the account
ping_mogul_api
Verify connectivity and authentication with the ChartMogul API
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.
"What is my total MRR for the last 3 months?"
"Show me details for customer UUID 'cust_123456'."
"Get my subscription metrics for 2024-01-01 to 2024-03-31."
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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ChartMogul + OpenAI Agents SDK FAQ
Common questions about integrating ChartMogul MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
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?
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?
Connect ChartMogul with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ChartMogul to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.