How to Use the Robin MCP in LlamaIndex

Q: How do I index Robin office data with LlamaIndex?

Install llama-index-tools-mcp and initialize the basic client with your server endpoint. Convert the tools to a list using McpToolSpec and pass them to your agent to begin indexing.

Q: Can LlamaIndex search for available desks using Robin?

Yes, the agent calls listdesks to pull the active desk inventory and indexes the results. Users can then search for available hot desks using natural language queries.

Q: How does the Robin MCP Server prevent double-booking rooms in LlamaIndex?

The agent runs getfreebusy across your space IDs before initiating any booking. This checks real-time availability, ensuring the tool only reserves empty time slots.

Q: Can I filter which Robin MCP tools my agent can access?

Yes, you can use the allowedtools filter during initialization to restrict the agent. For example, you can limit an agent to viewing schedules without giving it booking permissions.

Index your live office layout and room schedules into LlamaIndex for context-aware workplace booking.

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Turn physical office layouts into searchable data

The `list_locations` tool retrieves your entire physical office hierarchy so LlamaIndex can index it for semantic search. Your RAG pipeline queries this index to match user requests like 'near the window' with the actual IDs returned by `list_desks`. Instead of hardcoding floor plans, you let your agent search the indexed output. This grounds every booking decision in real-time inventory, preventing hallucinations about room availability.

Ground room reservations in live calendar data

The `get_space` tool pulls detailed profiles of meeting rooms directly into your vector store. Your agent uses this data to check room capacities and amenities before running `book_space` for a user. By querying `get_free_busy` first, the system verifies that the selected room is open during the requested window. This prevents double-bookings by ensuring the agent only acts on verified free slots.

Keep your LlamaIndex agent updated with live events

The `list_space_events` tool fetches all scheduled meetings for a specific room to update your index. Your agent queries this index to answer questions about who is using a space or when it will clear out. If a meeting gets cut short, the agent can call `cancel_desk_reservation` to free up resources immediately. This ensures your knowledge base matches the actual physical state of your office.

Setup guide

Set up Robin MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Robin MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Robin tools.",
)
response = await agent.run("List recent Robin data")

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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 LlamaIndex

Install `llama-index-tools-mcp` and initialize the basic client with your server endpoint. Convert the tools to a list using `McpToolSpec` and pass them to your agent to begin indexing.

Yes, the agent calls `list_desks` to pull the active desk inventory and indexes the results. Users can then search for available hot desks using natural language queries.

The agent runs `get_free_busy` across your space IDs before initiating any booking. This checks real-time availability, ensuring the tool only reserves empty time slots.

Yes, you can use the `allowed_tools` filter during initialization to restrict the agent. For example, you can limit an agent to viewing schedules without giving it booking permissions.

All retrieved office schedules and desk reservations are processed within a secure MCP sandbox. Your sensitive calendar details are never stored externally, keeping your corporate directory completely private.

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