Chargify MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Chargify 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="Chargify Assistant",
instructions=(
"You help users interact with Chargify. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Chargify"
)
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 Chargify MCP Server
Connect your Chargify (Maxio) site to any AI agent and take absolute control of your SaaS revenue operations by simply chatting. Bypass massive spreadsheets, complex API docs, and tedious financial dashboards.
The OpenAI Agents SDK auto-discovers all 10 tools from Chargify through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Chargify, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Customers — Query your B2B accounts, retrieve specific financial details, or formulate brand new CRM customer records instantly
- Subscriptions — Inspect active and canceled states, trace billing cycles, past-due flags, or irreversibly cancel subscriptions documenting specific churn reasons
- Planes & Upgrades — Browse your active product catalog and seamlessly upgrade or modify a customer's plan mid-cycle with a single command
- Holds & Resumes — Place an absolute freeze/hold on a subscription forbidding next billing, and resume it seamlessly when ready
The Chargify MCP Server exposes 10 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 Chargify to OpenAI Agents SDK via MCP
Follow these steps to integrate the Chargify 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 10 tools from Chargify
Why Use OpenAI Agents SDK with the Chargify MCP Server
OpenAI Agents SDK provides unique advantages when paired with Chargify 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
Chargify + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Chargify MCP Server delivers measurable value.
Automated workflows: build agents that query Chargify, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Chargify, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Chargify tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Chargify to resolve tickets, look up records, and update statuses without human intervention
Chargify MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Chargify to OpenAI Agents SDK via MCP:
cancel_subscription
Irreversibly vaporize explicit validations extracting rich Churn flags
create_customer
json` tracking exact Name and Email strings tied to the B2B engine. Provision a highly-available JSON Payload generating hard Customer bindings
get_customer_details
json` checking exactly what references exist per SaaS consumer. Perform structural extraction of properties driving active Account logic
get_subscription_details
json` tracking exact billing cycle, MRR, and past-due flags. Inspect deep internal arrays mitigating specific Plan Math
hold_subscription
json` clamping the subscription entirely forbidding next billing until cleared. Identify precise active arrays spanning native Pause tracking
list_catalog_products
json` grabbing precisely the valid handles needed to trigger a plan switch. Retrieve the exact structural matching verifying Product mapping
list_customers
json` mapping exact user email arrays inside a Chargify site. Identify bounded CRM records inside the Headless Chargify/Maxio Platform
list_subscriptions
json` dropping exact state strings resolving whether active or canceled. Retrieve explicit Cloud logging tracing explicit Recurring limits
resume_subscription
json` ripping a Hold state unlocking MRR engine immediately. Dispatch an automated validation check routing explicit Resume logic
update_subscription_product
Identify precise active arrays spanning native Plan tracking/Upgrades
Example Prompts for Chargify in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Chargify immediately.
"We promised Acme Corp a grace period. Put a hold on subscription 4040 immediately."
"List our product catalog. I need to know the IDs to upgrade an account."
"Customer sub_899 just requested cancellation via email. Reason: 'budget cuts'. Please process it."
Troubleshooting Chargify MCP Server with OpenAI Agents SDK
Common issues when connecting Chargify to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Chargify + OpenAI Agents SDK FAQ
Common questions about integrating Chargify 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 Chargify 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 Chargify to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.