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MyTime MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MyTime as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Vinkius supports streamable HTTP and SSE.

python
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 MyTime. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in MyTime?"
    )
    print(response)

asyncio.run(main())
MyTime
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 MyTime MCP Server

Connect your MyTime partner account to your AI agent and take control of your business operations and scheduling through natural conversation.

LlamaIndex agents combine MyTime tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 Management — List all scheduled appointments and get detailed status updates and customer info.
  • Staff Oversight — Access a complete list of staff members and their associated roles.
  • Service & Product Catalog — View all services and retail products offered by your business.
  • Real-time Availability — Check available time slots for specific staff members and services.
  • Customer Insights — List and search your customer database for easy profile lookup.
  • Reputation Monitoring — Retrieve recent customer reviews and feedback.
  • Multi-Location Support — Manage operations across all your business branches.

The MyTime MCP Server exposes 10 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 MyTime to LlamaIndex via MCP

Follow these steps to integrate the MyTime MCP Server with LlamaIndex.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 10 tools from MyTime

Why Use LlamaIndex with the MyTime MCP Server

LlamaIndex provides unique advantages when paired with MyTime through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine MyTime tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain MyTime tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query MyTime, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what MyTime tools were called, what data was returned, and how it influenced the final answer

MyTime + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the MyTime MCP Server delivers measurable value.

01

Hybrid search: combine MyTime real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query MyTime to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying MyTime for fresh data

04

Analytical workflows: chain MyTime queries with LlamaIndex's data connectors to build multi-source analytical reports

MyTime MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect MyTime to LlamaIndex via MCP:

01

get_appointment

Get specific appointment details

02

get_availability

Check staff availability

03

get_business_info

Get high-level business info

04

list_appointments

List scheduled appointments

05

list_customers

List business customers

06

list_locations

List business locations

07

list_products

List retail products

08

list_reviews

List customer reviews

09

list_services

List available services

10

list_staff

List staff members

Example Prompts for MyTime in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with MyTime immediately.

01

"Show me today's appointment schedule."

02

"Check if staff member 'John Doe' is available for a 'Full Massage' this Friday."

03

"List all our retail products and prices."

Troubleshooting MyTime MCP Server with LlamaIndex

Common issues when connecting MyTime to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

MyTime + LlamaIndex FAQ

Common questions about integrating MyTime MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query MyTime tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Connect MyTime to LlamaIndex

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.