How to Use the SevenRooms MCP in LangChain
Build complex scheduling chains and reasoning agents using LangChain.
Works with every AI agent you already use
…and any MCP-compatible client
Connect SevenRooms MCP to LangChain
Create your Vinkius account to connect SevenRooms to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Determine seating capacity across multiple venues.
Need to know if a group can fit into the whole chain? You start by calling `list_venues` to map out all locations. Then, you feed those IDs into `check_availability` for each one to see open tables and current wait times. This sequence lets your agent build an itinerary: it checks capacity across multiple spots before recommending a final choice.
Assemble guest profiles from booking history.
An agent needs context on a customer. First, use `search_guests` to find the profile ID for someone like Mr. Silva. Next, call `get_reservation` using that ID to pull up their recent dining history and preferences. The resulting data lets your chain decide if they need to check `list_events` first, or if the guest is just showing up for a standard dinner.
Manage real-time host communication flows.
When things get chaotic, your agent takes over. Start by calling `list_waitlist` to see who's waiting right now. Then, if you need details on a specific booking, run `get_reservation`. Finally, use `check_availability` to confirm exactly when that table will clear up. This chain handles the entire operational flow: waitlist check -> reservation detail -> resource update.
Set up SevenRooms 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 SevenRooms 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({
"sevenrooms-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 SevenRooms 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 SevenRooms. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about SevenRooms MCP in LangChain
Use it with your favorite AI tools
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Start using the SevenRooms MCP today
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