Bookeo MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Bookeo 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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Vinkius supports streamable HTTP and SSE.
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 Bookeo. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Bookeo?"
)
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 Bookeo MCP Server
Connect your Bookeo account to any AI agent and manage your booking-based business through natural conversation.
LlamaIndex agents combine Bookeo tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Bookings — View reservations with participants, pricing, and payment status
- Products — Browse all bookable products: classes, sessions, tours, rentals
- Customers — Search clients, view profiles, and booking history
- Payments — Track revenue, payment methods, and refunds
- Availability — Check real-time available slots for any product
- Business — Access your business profile, timezone, and configuration
- Webhooks — Monitor active event notifications
The Bookeo MCP Server exposes 9 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 Bookeo to LlamaIndex via MCP
Follow these steps to integrate the Bookeo 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 9 tools from Bookeo
Why Use LlamaIndex with the Bookeo MCP Server
LlamaIndex provides unique advantages when paired with Bookeo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Bookeo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Bookeo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Bookeo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Bookeo tools were called, what data was returned, and how it influenced the final answer
Bookeo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Bookeo MCP Server delivers measurable value.
Hybrid search: combine Bookeo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Bookeo 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 Bookeo for fresh data
Analytical workflows: chain Bookeo queries with LlamaIndex's data connectors to build multi-source analytical reports
Bookeo MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Bookeo to LlamaIndex via MCP:
check_availability
Essential for real-time booking assistance. Check available time slots
get_booking
Get booking details
get_business_info
Get business info
get_customer
Get customer profile
list_bookings
Includes participant count, time, product, price, and payment status. Filter by date range. List bookings and reservations
list_payments
Filter by date for revenue analysis. List payments
list_products
Includes pricing, duration, and capacity. List bookable products
list_webhooks
List active webhooks
search_customers
Returns profile, booking history, and preferences. Search customers
Example Prompts for Bookeo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Bookeo immediately.
"Are there any open slots for yoga tomorrow?"
"Extract the customer profile and booking history for Alice Smith."
"Check total revenue collected for today's classes."
Troubleshooting Bookeo MCP Server with LlamaIndex
Common issues when connecting Bookeo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBookeo + LlamaIndex FAQ
Common questions about integrating Bookeo 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 Bookeo 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 Bookeo to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.