How to Use the SimplyBook.me MCP in LlamaIndex

Q: Can I use LlamaIndex to find past SimplyBook.me appointments?

Yes. You index the results from getbookingdetails and listclients. When you ask a question about a previous appointment, the agent finds the answer in the indexed data rather than just listing records.

Q: Is LlamaIndex suitable for SimplyBook.me scheduling?

It's great. You can index service definitions from listservices and combine that knowledge with real-time unit availability found via the MCP Server, making your agent highly informed.

LlamaIndex: Grounding API data into a searchable knowledge base for SimplyBook.me operations.

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Connect SimplyBook.me MCP to LlamaIndex

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

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Setup SimplyBook.me with LlamaIndex

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Semantic Search Across Booking Records

Instead of just listing bookings, LlamaIndex indexes the results. You can ask a question like, 'What services was John Smith booked for last month?' The agent searches past data retrieved via `get_booking_details` and provides an answer grounded in the actual API records. It doesn't hallucinate; it pulls context from structured tool calls. This means you can query historical service outcomes found when calling `list_services`.

Knowledge Augmentation for Unit Management

When dealing with staff units, the agent indexes details retrieved from `list_units` and `get_work_calendar`. You can then ask complex questions like, 'Which unit is available next Tuesday but only offers service X?' The answer comes from combining indexed capacity data. This turns raw API output into actionable knowledge. It helps you find the best solution using data from `list_services` and `list_units` simultaneously.

Contextual Client Record Querying

Forget reading through endless logs. LlamaIndex indexes client records fetched via `list_clients`. You can query the system to summarize a client's typical booking patterns or preferred services without running multiple API calls. This is crucial for troubleshooting: you ask about an issue, and the agent searches past `get_booking_details` results to find the root cause quickly.

Setup guide

Set up SimplyBook.me 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 SimplyBook.me 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 SimplyBook.me tools.",
)
response = await agent.run("List recent SimplyBook.me 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 SimplyBook.me. 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 SimplyBook.me MCP in LlamaIndex

LlamaIndex takes the raw output from the MCP Server and turns it into searchable vectors. This means your agent can query booking information, like those found when calling `list_bookings`, using natural language instead of specific API commands.

Yes. You index the results from `get_booking_details` and `list_clients`. When you ask a question about a previous appointment, the agent finds the answer in the indexed data rather than just listing records.

It's great. You can index service definitions from `list_services` and combine that knowledge with real-time unit availability found via the MCP Server, making your agent highly informed.

It indexes all structured data exposed by the MCP Server. This includes service offerings (`list_services`), staff details (`list_units`), and client metadata (`list_clients`).

The server touches booking schedules, service definitions, and client records. When indexing, the agent works with identifiable information like client names and specific appointment times.

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