Pike13 MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Pike13 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="Pike13 Assistant",
instructions=(
"You help users interact with Pike13. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Pike13"
)
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 Pike13 MCP Server
Connect your Pike13 studio to any AI agent and manage your fitness business through natural conversation.
The OpenAI Agents SDK auto-discovers all 9 tools from Pike13 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Pike13, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Events — View scheduled classes and sessions with instructors, capacity, and enrollment
- Clients — Search members by name, email, or phone with detailed profiles
- Staff — List instructors with roles, certifications, and class assignments
- Plans — Browse membership plans, class packs, and drop-in pricing
- Invoices — Track revenue, payments, refunds, and financial reporting
- Visits — Analyze check-in records for retention and engagement analytics
- Business — Access account profile and configuration
Why Pike13?
Pike13 uniquely offers a Reporting API with deep analytics — making it the best choice for data-driven studio owners who want AI-powered business intelligence. Combined with the Core API and Webhooks, it provides the most comprehensive data access in the fitness industry.
The Pike13 MCP Server exposes 9 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 Pike13 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Pike13 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 9 tools from Pike13
Why Use OpenAI Agents SDK with the Pike13 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Pike13 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
Pike13 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Pike13 MCP Server delivers measurable value.
Automated workflows: build agents that query Pike13, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Pike13, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Pike13 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Pike13 to resolve tickets, look up records, and update statuses without human intervention
Pike13 MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Pike13 to OpenAI Agents SDK via MCP:
get_business_info
Get business account info
get_event
Get event details
get_person
Get person profile
list_events
Filter by date range. Follows JSON:API 1.0 spec. List scheduled classes/events
list_invoices
Filter by date for financial reporting. List invoices and revenue
list_plans
Includes pricing and visit limits. List service plans
list_staff
List staff members
list_visits
Key data for retention analytics. List member visits
search_people
Returns profiles, active plans, visit count, and account balance. Search clients/members
Example Prompts for Pike13 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Pike13 immediately.
"What's our revenue this month?"
"List the staff members teaching yoga classes tomorrow."
"How many new clients bought a membership this week?"
Troubleshooting Pike13 MCP Server with OpenAI Agents SDK
Common issues when connecting Pike13 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Pike13 + OpenAI Agents SDK FAQ
Common questions about integrating Pike13 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 Pike13 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 Pike13 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.