MakePlans MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MakePlans as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 MakePlans. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in MakePlans?"
)
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 MakePlans MCP Server
Connect your MakePlans account to any AI agent to automate your scheduling and appointment management. This MCP server enables your agent to list bookings, find available time slots, manage services and resources, and create customer records directly from natural language interfaces.
LlamaIndex agents combine MakePlans 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
- Appointment Control — List all scheduled bookings and retrieve detailed metadata and status updates
- Availability Check — Query specific services to find available time slots within defined date ranges
- Resource Oversight — Manage bookable resources such as staff members, rooms, or specialized equipment
- Service Catalog — List all service definitions and appointment types configured in your account
- Customer CRM — Create new customer profiles and manage the 'people' database for your business
- Real-time Scheduling — Programmatically create new appointments by linking people, services, and time slots
The MakePlans 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 MakePlans to LlamaIndex via MCP
Follow these steps to integrate the MakePlans 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 MakePlans
Why Use LlamaIndex with the MakePlans MCP Server
LlamaIndex provides unique advantages when paired with MakePlans through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine MakePlans tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain MakePlans tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query MakePlans, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what MakePlans tools were called, what data was returned, and how it influenced the final answer
MakePlans + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the MakePlans MCP Server delivers measurable value.
Hybrid search: combine MakePlans real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query MakePlans 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 MakePlans for fresh data
Analytical workflows: chain MakePlans queries with LlamaIndex's data connectors to build multi-source analytical reports
MakePlans MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect MakePlans to LlamaIndex via MCP:
create_new_appointment
Requires person_id, service_id, and start_at. Schedule a new booking
create_new_customer
Requires name. Add a new customer profile
find_available_slots
Requires service_id and date parameters. Find available time slots for a service
get_appointment_details
Get details for a specific booking
list_appointments
Use optional params for filtering. List all bookings/appointments
list_available_services
List all offered services (appointment types)
list_booking_resources
List booking resources (staff, rooms, etc.)
list_customers
List all registered customers
Example Prompts for MakePlans in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with MakePlans immediately.
"List all appointments scheduled for next week in MakePlans."
"Find available slots for service ID '123' between tomorrow and Friday."
"Create a new customer profile for 'Alice Doe' with email 'alice@example.com'."
Troubleshooting MakePlans MCP Server with LlamaIndex
Common issues when connecting MakePlans to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMakePlans + LlamaIndex FAQ
Common questions about integrating MakePlans 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 MakePlans 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 MakePlans to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.