ChargeOver 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 ChargeOver 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="ChargeOver Assistant",
instructions=(
"You help users interact with ChargeOver. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ChargeOver"
)
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 ChargeOver MCP Server
Connect your ChargeOver account to any AI agent and take full control of your recurring billing and invoicing operations through natural conversation. Streamline how you manage subscriptions and customer payments.
The OpenAI Agents SDK auto-discovers all 8 tools from ChargeOver through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ChargeOver, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Customer Oversight — List and retrieve details for all customer profiles and their contact information natively
- Invoice Management — Monitor generated invoices and their current payment status flawlessly
- Subscription Tracking — List and retrieve details for active and inactive customer packages securely
- Transaction Auditing — Access and monitor all billing transactions and payment history flawlessly
- Quote Control — List and review sales quotes to manage your revenue pipeline securely
- Account Visibility — Retrieve core account and user information directly within your workspace
The ChargeOver 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 ChargeOver to OpenAI Agents SDK via MCP
Follow these steps to integrate the ChargeOver 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 ChargeOver
Why Use OpenAI Agents SDK with the ChargeOver MCP Server
OpenAI Agents SDK provides unique advantages when paired with ChargeOver 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
ChargeOver + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ChargeOver MCP Server delivers measurable value.
Automated workflows: build agents that query ChargeOver, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ChargeOver, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ChargeOver tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ChargeOver to resolve tickets, look up records, and update statuses without human intervention
ChargeOver MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect ChargeOver to OpenAI Agents SDK via MCP:
get_chargeover_account
Retrieve core account and user information
get_customer_details
Get detailed information for a specific customer
get_invoice_details
Get detailed information for a specific invoice
list_billing_quotes
List all sales quotes
list_billing_subscriptions
List all customer subscriptions (packages)
list_billing_transactions
List all billing transactions
list_chargeover_customers
List all customers
list_chargeover_invoices
List all invoices
Example Prompts for ChargeOver in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ChargeOver immediately.
"Show me the last 5 invoices in ChargeOver."
"List all customers with active subscriptions."
"What was my total transaction volume today?"
Troubleshooting ChargeOver MCP Server with OpenAI Agents SDK
Common issues when connecting ChargeOver to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ChargeOver + OpenAI Agents SDK FAQ
Common questions about integrating ChargeOver 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 ChargeOver 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 ChargeOver to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.