How do I get Vagaro API access?

Go to your Vagaro dashboard → Settings → Developer Features → API Settings. You'll need Admin or Owner permissions and active payment processing to generate API credentials.

Does it support multi-location businesses?

Yes. Each location has its own Business ID. Configure the server with the specific Business ID for the location you want to manage, or set up multiple instances for multi-location oversight.

Vagaro MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Vagaro
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Vagaro 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({
        "vagaro": {
            "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 Vagaro, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* 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 Vagaro MCP Server

Connect your Vagaro business to any AI agent and manage your salon, spa, or fitness studio through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Vagaro through native MCP adapters. Connect 10 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

Appointments — View booked appointments, check availability, and manage daily schedule
Clients — Search customers, view profiles, visit history, and preferences
Staff — List providers, check individual schedules, and manage availability
Services — Browse all services offered with pricing and duration
Classes — View group fitness classes, capacity, and enrollment
Products — Manage retail inventory: hair care, skincare, supplements
Business — Access business profile, hours, and online booking settings

The Vagaro MCP Server exposes 10 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 Vagaro to LangChain via MCP

Follow these steps to integrate the Vagaro 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 10 tools from Vagaro via MCP

Why Use LangChain with the Vagaro MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine Vagaro 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 Vagaro queries for multi-turn workflows

Vagaro + LangChain Use Cases

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

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

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

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

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

Vagaro MCP Tools for LangChain (10)

These 10 tools become available when you connect Vagaro to LangChain via MCP:

get_appointment

Get appointment details

get_business_info

Get business profile

get_client

Get client profile

get_staff_schedule

Shows booked and available time slots. Get staff member schedule

list_appointments

Filter by date to see a specific day. List salon/spa/fitness appointments

list_classes

Includes schedule, instructor, capacity, and enrolled count. List fitness/wellness classes

list_products

Includes name, price, brand, and stock level. List retail products

list_services

Includes pricing, duration, and category. List all services offered

list_staff

Includes name, role, specialties, and availability. List all staff/providers

search_clients

Returns contact info, visit history, and preferences. Search clients/customers

Example Prompts for Vagaro in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Vagaro immediately.

"Show me today's appointments."

"Find Elena Gomez's profile and check her last booked service."

"Book a 60-minute deep tissue massage for Mark Smith with John next Friday at 2 PM."

Troubleshooting Vagaro MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Vagaro + LangChain FAQ

Common questions about integrating Vagaro 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.