Does Pike13 support real-time webhooks?

Yes! Pike13 has a dedicated Webhooks API that sends real-time notifications for events like new clients, invoice changes, and new visits. This MCP server focuses on the Core and Reporting APIs for querying data.

Can I query staff payroll data?

Through the Reporting API, you can query staff hours, class assignments, and pay rates to calculate or audit your payroll.

What payment gateways are supported?

Pike13 typically integrates with Stripe, Evo, and other major gateways to process credit card and ACH payments directly.

Pike13 MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: Pike13
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Pike13 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "pike13": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Pike13, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 Pike13 MCP Server

Connect your Pike13 studio to any AI agent and manage your fitness business through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Pike13 through native MCP adapters. Connect 9 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Pike13 MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 9 tools from Pike13 via MCP

Why Use LangChain with the Pike13 MCP Server

LangChain provides unique advantages when paired with Pike13 through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Pike13 MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Pike13 queries for multi-turn workflows

Pike13 + LangChain Use Cases

Practical scenarios where LangChain combined with the Pike13 MCP Server delivers measurable value.

RAG with live data: combine Pike13 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Pike13, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Pike13 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Pike13 tool call, measure latency, and optimize your agent's performance

Pike13 MCP Tools for LangChain (9)

These 9 tools become available when you connect Pike13 to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Pike13 to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Pike13 + LangChain FAQ

Common questions about integrating Pike13 MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.