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Stigg MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Gql Get Customer, Gql Get Entitlements State, Gql Provision Customer, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Stigg 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 for OpenAI Agents SDK

The Stigg MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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

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

asyncio.run(main())
Stigg
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 Stigg MCP Server

Connect your Stigg account to any AI agent to take full control of your pricing and packaging workflows. Manage the entire customer lifecycle from provisioning to usage reporting through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Stigg through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Stigg, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Customer Lifecycle — Create, update, and retrieve customer profiles using REST or GraphQL tools.
  • Subscription Management — Provision new subscriptions, fetch active plan details, or cancel them when needed.
  • Usage Reporting — Report metered feature usage in real-time to ensure accurate billing and entitlement enforcement.
  • Hybrid API Access — Choose between REST and GraphQL actions for flexible integration with your billing data.

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

All 12 Stigg tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Stigg through Vinkius, your AI agent gets direct access to every tool listed below — spanning billing, subscriptions, saas-pricing, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

gql

Gql get customer on Stigg

Get customer details via GraphQL

gql

Gql get entitlements state on Stigg

Get entitlements state via GraphQL

gql

Gql provision customer on Stigg

Provision a customer and optional subscription via GraphQL

gql

Gql provision subscription on Stigg

Provision a subscription via GraphQL

gql

Gql report usage on Stigg

Report usage via GraphQL

rest

Rest cancel subscription on Stigg

Cancel a subscription via REST API

rest

Rest create customer on Stigg

Create a new customer via REST API

rest

Rest create subscription on Stigg

Create a subscription via REST API

rest

Rest get customer on Stigg

Retrieve a customer via REST API

rest

Rest get subscription on Stigg

Retrieve a subscription via REST API

rest

Rest report usage on Stigg

Report usage for metered features via REST API

rest

Rest update customer on Stigg

Update a customer via REST API

Connect Stigg to OpenAI Agents SDK via MCP

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

Why Use OpenAI Agents SDK with the Stigg MCP Server

OpenAI Agents SDK provides unique advantages when paired with Stigg 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

Stigg + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Stigg in OpenAI Agents SDK

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

01

"Create a customer with ID 'cust_123', name 'Alice', and email 'alice@example.com' using REST."

02

"Report 50 units of usage for feature 'api-calls' for customer 'cust_123'."

03

"Get the details for customer 'cust_123' using GraphQL."

Troubleshooting Stigg MCP Server with OpenAI Agents SDK

Common issues when connecting Stigg to OpenAI Agents SDK through 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.

Stigg + OpenAI Agents SDK FAQ

Common questions about integrating Stigg 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.

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