How to Use the MakePlans MCP in LlamaIndex

Q: Can LlamaIndex index MakePlans slots to prevent hallucinations?

Yes, you can index live slot data by calling listavailableslots and loading the output into a vector store. The agent queries this index to find open times, ensuring it only suggests real slots.

Q: Can the agent update schedules or only read them?

The agent can perform full write operations. It uses createbooking to schedule new appointments and deletebooking to cancel them based on user commands.

Index your MakePlans schedules into LlamaIndex to query real-time booking data and prevent scheduling conflicts.

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Connect MakePlans MCP to LlamaIndex

Create your Vinkius account to connect MakePlans to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup MakePlans with LlamaIndex

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Index real-time MakePlans schedules with LlamaIndex

Stop relying on stale calendar exports. Your LlamaIndex agent runs `list_bookings` and indexes the raw JSON data directly into your vector store. When a customer asks for their next appointment, the agent queries the index instead of guessing. It uses `get_booking` to pull the exact details, keeping your retrieval-augmented generation grounded in live data.

Ground your agent in actual resource availability

Hallucinated time slots ruin customer trust. This MCP Server lets LlamaIndex query `list_available_slots` and `list_resources` dynamically during the retrieval phase. The agent matches user requests against real-time availability. It checks `get_service` to confirm the duration, ensuring every generated booking option is completely accurate.

Build a searchable database of staff schedules

Turn your staff directory into a queryable knowledge base. LlamaIndex pulls data using `list_people` and indexes their roles and working hours. When a customer wants to book a specific therapist or consultant, the agent queries the index, verifies availability with `get_resource`, and triggers `create_booking` to finalize the slot.

Setup guide

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

Use McpToolSpec to load the tools into your LlamaIndex agent. This lets the agent call list_bookings or get_booking to retrieve live calendar data during query execution.

Yes, you can index live slot data by calling list_available_slots and loading the output into a vector store. The agent queries this index to find open times, ensuring it only suggests real slots.

Install llama-index-tools-mcp, initialize the basic MCP client with your Vinkius URL, and convert it to a tool spec. Pass the tools to your FunctionAgent to start managing bookings.

The agent can perform full write operations. It uses create_booking to schedule new appointments and delete_booking to cancel them based on user commands.

Your staff schedules, resource listings, and appointment records are never cached or stored by Vinkius. All tool execution occurs in ephemeral, zero-trust sandboxes. Your API keys are encrypted at rest and only used to authenticate direct requests to MakePlans.

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