How to Use the vCita MCP in LlamaIndex

Q: How does LlamaIndex handle complex scheduling queries with vCita?

You index the output of listscheduledappointments and combine it with service details from listofferedservices. Your agent then searches this unified knowledge base to answer questions like, 'When is Client X free next week?'

Q: Can LlamaIndex help me manage client data for vCita?

Absolutely. By indexing getclientdetails, your agent can retrieve specific client information—like addresses or primary contacts—without needing a dedicated API call every time.

Q: What kind of payments history does LlamaIndex support with vCita?

It handles both invoices (listclientinvoices) and specific transactions (listrecordedpayments). You can ask questions that require synthesizing information from both lists.

Q: How do I use LlamaIndex to verify service availability with vCita?

You index the listofferedservices output. This allows your agent to answer questions about service parameters and pricing based on the stored data.

Ground your AI answers in live vCita data using LlamaIndex.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect vCita MCP to LlamaIndex

Create your Vinkius account to connect vCita 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.

GDPR Free for Subscribers

Setup vCita with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Search Client History

LlamaIndex can index results from `get_client_details` so you don't have to search through PDFs. You query the knowledge base, and it pulls facts like a client’s primary contact or service history. This means your agent answers questions based on actual API data—things like past bookings found via `list_scheduled_appointments`.

Index Bookable Services

Need to know what services are offered? Index the output of `list_offered_services`. You can ask complex questions against this index, like 'What's the price range for a haircut?' without needing structured API calls. The agent combines knowledge retrieval with function calling when you query services.

Review Financial Records

You don’t just list transactions; you index them. Use `list_client_invoices` and `list_recorded_payments` to create a searchable knowledge graph of money flow. You can ask, 'Did Client X pay for Service Y last month?' The RAG application grounds the answer in the actual payment records.

Setup guide

Set up vCita 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 vCita 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 vCita tools.",
)
response = await agent.run("List recent vCita data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by vCita. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect vCita now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about vCita MCP in LlamaIndex

You index the output of `list_scheduled_appointments` and combine it with service details from `list_offered_services`. Your agent then searches this unified knowledge base to answer questions like, 'When is Client X free next week?'

Absolutely. By indexing `get_client_details`, your agent can retrieve specific client information—like addresses or primary contacts—without needing a dedicated API call every time.

It handles both invoices (`list_client_invoices`) and specific transactions (`list_recorded_payments`). You can ask questions that require synthesizing information from both lists.

You index the `list_offered_services` output. This allows your agent to answer questions about service parameters and pricing based on the stored data.

The server touches Client Invoices, Scheduled Appointments, and CRM Customer records. The index ensures that all retrieved answers are grounded in actual API data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript