How to Use the Acuity Scheduling MCP in LangChain
Build agents that manage your Acuity calendar. A natural fit for LangChain's sequential tool-use and ReAct logic.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Acuity Scheduling MCP to LangChain
Create your Vinkius account to connect Acuity Scheduling to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Chain Acuity tools together
Create agents that reason through multi-step scheduling tasks. Your agent can start by calling `list_appointment_types` to see what you offer, then use the output to `check_availability_dates` for a specific service. It’s a sequence that just makes sense. Once a date is picked, the agent can call `list_available_times` to get the final list of open slots. Each step informs the next. That's how you build a LangChain agent that doesn't just fetch data, but actually assists with the entire booking discovery process, from service selection to finding the perfect time.
Get a clear view of your business
Use this MCP Server to feed real-time business data into your chains. An agent can `list_appointments` for the last quarter and `list_calendars` to see which team members are busiest. It gets you the raw numbers you need for reports. Combine these tools to answer specific questions. For example, you could build a chain that pulls all appointments for a specific `appointmentTypeID`, giving you a clear view of how popular a certain service is. It's direct data access, ready for analysis.
Manage your service catalog
Your agent gets direct access to what your business sells. The `list_products` tool pulls in any gift certificates or items you offer alongside appointments. The `list_classes` tool shows all your group sessions, including their schedules and current enrollment. This isn't just about reading data. A smart agent can use this info to answer user questions correctly. When someone asks about a class, your agent can check `list_classes` to see if it's full before suggesting it. It makes your agent genuinely helpful.
Set up Acuity Scheduling MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes Acuity Scheduling tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"acuity-scheduling-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent Acuity Scheduling transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Acuity Scheduling. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Acuity Scheduling MCP in LangChain
Use it with your favorite AI tools
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