Can I see who has booked a specific meeting room today?

Yes! Use the `list_space_bookings` tool with today's date range. The agent will return all bookings, allowing you to see which members have reserved specific rooms.

How do I check the status of a member's last invoice?

Use the `list_cobot_invoices` tool. Your agent will fetch all invoices, and you can filter for a specific member's name or ID to see if their last payment was successful.

Where do I find my Cobot Access Token and Subdomain?

The **Subdomain** is the first part of your Cobot URL (e.g., `myspace` in `myspace.cobot.me`). You can generate an **Access Token** via the Cobot developer portal or by creating an application in your account settings.

Cobot MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: Cobot
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Cobot as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Cobot. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Cobot?"
    )
    print(response)

asyncio.run(main())

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About Cobot MCP Server

Connect your Cobot account to any AI agent and take full control of your coworking space management through natural conversation. Streamline how you manage members, resources, and billing natively.

LlamaIndex agents combine Cobot tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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

Membership Oversight — List and retrieve details for all active memberships including their names and plan details natively
Booking Intelligence — Access and monitor resource bookings within specific date ranges flawlessly
Resource Management — List all bookable resources like desks and meeting rooms flawlessly
Booking Lifecycle — Create new bookings for resources directly from your chat interface securely
Invoicing Logistics — List and review membership invoices and their payment status flawlessly
Space Visibility — Retrieve core information and metadata about your coworking space directly within your workspace

The Cobot MCP Server exposes 8 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 Cobot to LlamaIndex via MCP

Follow these steps to integrate the Cobot 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 8 tools from Cobot

Why Use LlamaIndex with the Cobot MCP Server

LlamaIndex provides unique advantages when paired with Cobot through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Cobot tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Cobot tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Cobot, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Cobot tools were called, what data was returned, and how it influenced the final answer

Cobot + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Cobot MCP Server delivers measurable value.

Hybrid search: combine Cobot real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Cobot 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 Cobot for fresh data

Analytical workflows: chain Cobot queries with LlamaIndex's data connectors to build multi-source analytical reports

Cobot MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Cobot to LlamaIndex via MCP:

create_new_booking

Create a new booking for a resource

get_cobot_space_info

Retrieve core information and metadata about the coworking space

get_membership_details

Get detailed information for a specific membership

list_cobot_invoices

List all membership invoices and their payment status

list_cobot_memberships

List all active memberships in the coworking space

list_membership_plans

List all available membership plans in the space

list_space_bookings

List all resource bookings within a specific date range

list_space_resources

List all bookable resources (desks, rooms) in the space

Example Prompts for Cobot in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Cobot immediately.

"List all active memberships in my coworking space."

"Show me the bookings for 'Large Meeting Room' for this week."

"Are there any unpaid invoices from last month?"

Troubleshooting Cobot MCP Server with LlamaIndex

Common issues when connecting Cobot to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Cobot + LlamaIndex FAQ

Common questions about integrating Cobot MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.