How to Use the Robin MCP in LangChain

Q: How do I connect the Robin MCP Server to LangChain?

Install langchain-mcp-adapters and initialize the MultiServerMCPClient with the server URL. Pass the tools retrieved from client.gettools() to your agent constructor to start booking desks.

Q: Can a LangChain agent check Robin room schedules before booking?

Yes, your agent calls listspaceevents to retrieve the current calendar for any room. It uses this event list to avoid scheduling conflicts before running the booking tool.

Q: How does the Robin MCP integration handle multi-office setups in LangChain?

The agent uses listlocations to map the user's city to a specific office ID. From there, it queries listspaces or listdesks for that specific location to ensure accurate bookings.

Run multi-step office booking pipelines by linking Robin tools directly into your LangChain agent chains.

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…and any MCP-compatible client

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Connect Robin MCP to LangChain

Create your Vinkius account to connect Robin to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Robin with LangChain

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ChatGPT

Claude

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Find and filter physical workspaces on the fly

The `list_locations` tool pulls your active office addresses directly into your LangChain agent context. Your agent runs this first to pinpoint where the user is working, then calls `list_desks` or `list_spaces` to grab real-time inventories for that specific building. This setup avoids hardcoded location IDs by letting the model dynamically resolve where to look. By chaining these tools together, your run handles multi-office organizations without manual configuration updates.

Confirm and book spaces in a single LangChain run

The `get_free_busy` tool checks actual availability blocks across multiple rooms before committing to a reservation. Once your agent identifies an open slot, it immediately triggers `book_space` with the exact start and end times to secure the room. If a conflict arises mid-chain, the agent adapts. It falls back to alternative space IDs returned from the initial search, guaranteeing a completed reservation without failing the execution chain.

Manage office desks and cancellations dynamically

The `reserve_desk` tool claims a hot desk for a specific date based on current office occupancy. If plans change, your pipeline uses `cancel_desk_reservation` to instantly release the desk using its unique reservation ID. This keeps your workplace inventory accurate and prevents ghost bookings from cluttering the office. Your agent handles the entire lifecycle from initial check to final cancellation within a single conversational thread.

Setup guide

Set up Robin MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
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 LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "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 Robin tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "robin-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 Robin transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Robin Workspace API. 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 Robin MCP in LangChain

Install `langchain-mcp-adapters` and initialize the `MultiServerMCPClient` with the server URL. Pass the tools retrieved from `client.get_tools()` to your agent constructor to start booking desks.

Yes, your agent calls `list_space_events` to retrieve the current calendar for any room. It uses this event list to avoid scheduling conflicts before running the booking tool.

The agent uses `list_locations` to map the user's city to a specific office ID. From there, it queries `list_spaces` or `list_desks` for that specific location to ensure accurate bookings.

The tool returns an error message that your agent reads. You can configure the run to try another desk ID from the `list_desks` payload or alert the user.

Your reservation details and room schedules remain secure because the MCP server runs inside a sandboxed environment. Vinkius handles the authorization tokens, meaning your raw API keys are never exposed to the LLM context.

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