Robin MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Robin as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Robin. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Robin?"
)
print(response)
asyncio.run(main())
* 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 Robin MCP Server
Connect your conversational assistant directly to Robin, the leading workplace management platform. This integration transforms your AI into a virtual office manager, empowering you to explore office locations, check room availability, and book desks directly from a seamless chat interface.
LlamaIndex agents combine Robin tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Manage Office Logistics — Ask your assistant to map out your global organizational offices (
list_locations) and review deep details like capacity or address for a specific hub (get_location). - Book Meeting Rooms — See all bookable spaces (
list_spaces) to find the perfect room for your meeting. Command the AI to check schedules (list_space_events,get_free_busy) and immediately book a room (book_space) for your team. - Reserve Hot Desks — Explore the floor plan to find available seats (
list_desks) and immediately secure a hot desk for a specific date (reserve_desk). If plans change, simply tell the AI to cancel your booking (cancel_desk_reservation).
The Robin MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex 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 Robin to LlamaIndex via MCP
Follow these steps to integrate the Robin MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Robin
Why Use LlamaIndex with the Robin MCP Server
LlamaIndex provides unique advantages when paired with Robin through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Robin tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Robin tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Robin, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Robin tools were called, what data was returned, and how it influenced the final answer
Robin + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Robin MCP Server delivers measurable value.
Hybrid search: combine Robin real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Robin to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Robin for fresh data
Analytical workflows: chain Robin queries with LlamaIndex's data connectors to build multi-source analytical reports
Robin MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Robin to LlamaIndex via MCP:
book_space
Specify space ID, title, and start/end times. Books a meeting room by creating an event
cancel_desk_reservation
You must provide the unique reservation ID. Cancels an existing desk reservation
get_free_busy
Provide a JSON array of space IDs. Checks availability for multiple spaces within a time range
get_location
Retrieves details for a specific office location
get_space
Retrieves detailed information for a specific meeting space
list_desks
Lists all hot desks and assigned seats at a location
list_locations
Lists all office locations in Robin
list_space_events
Lists all events booked in a specific meeting space
list_spaces
Lists all bookable meeting rooms at a location
reserve_desk
Reserves a hot desk for a specific date
Example Prompts for Robin in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Robin immediately.
"Show me the office locations available in our organization."
"Check if room 555 and room 121 are free tomorrow from 10 AM to 11 AM."
"Book space ID 73 tomorrow at 3 PM. Title is Project Vinkius Sync."
Troubleshooting Robin MCP Server with LlamaIndex
Common issues when connecting Robin to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpRobin + LlamaIndex FAQ
Common questions about integrating Robin MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Robin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Robin to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.