PushPress 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 PushPress 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="PushPress Assistant",
instructions=(
"You help users interact with PushPress. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from PushPress"
)
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 PushPress MCP Server
Connect your PushPress gym to any AI agent.
The OpenAI Agents SDK auto-discovers all 8 tools from PushPress through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries PushPress, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- Members — Search, profiles, billing
- Check-ins — Daily visits with method tracking
- Classes — Group classes with coach and capacity
- Plans — Memberships, punch cards, trials
- Appointments — PT and private coaching
- Messages — Emails, push, SMS
- Webhooks — Real-time event notifications
The PushPress 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 PushPress to OpenAI Agents SDK via MCP
Follow these steps to integrate the PushPress 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 PushPress
Why Use OpenAI Agents SDK with the PushPress MCP Server
OpenAI Agents SDK provides unique advantages when paired with PushPress 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
PushPress + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the PushPress MCP Server delivers measurable value.
Automated workflows: build agents that query PushPress, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries PushPress, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through PushPress tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query PushPress to resolve tickets, look up records, and update statuses without human intervention
PushPress MCP Tools for OpenAI Agents SDK (8)
These 8 tools become available when you connect PushPress to OpenAI Agents SDK via MCP:
get_customer
Get member profile
list_appointments
List PT appointments
list_checkins
List gym check-ins
list_classes
List scheduled classes
list_messages
List sent messages
list_plans
Includes pricing and billing cycle. List membership plans
list_webhooks
List active webhooks
search_customers
Returns profile, active plan, check-in count, and billing status. Search gym members
Example Prompts for PushPress in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with PushPress immediately.
"How many people checked in today?"
"Who is enrolled in the 6 AM CrossFit class today?"
"Which members have a billing issue right now?"
Troubleshooting PushPress MCP Server with OpenAI Agents SDK
Common issues when connecting PushPress to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
PushPress + OpenAI Agents SDK FAQ
Common questions about integrating PushPress 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 PushPress 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 PushPress to OpenAI Agents SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.