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

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Picktime 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 Picktime. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())
Picktime
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About Picktime MCP Server

Connect your Picktime organization account to your AI agent and turn complex scheduling and availability management into a simple chat conversation.

LlamaIndex agents combine Picktime 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

  • Space & Resources — Easily retrieve structural logistics utilizing list_locations and inspect the service portfolio actively using list_services.
  • Staff Management — Gather team rosters through list_staff to orchestrate proper assignment mappings for upcoming reservations.
  • Booking Operations — Execute deep audits with list_bookings, review detailed entries (get_booking_details), and cleanly back out utilizing cancel_booking.
  • Availability Mapping — Audit live calendar empty spots using get_availability or check structured slots via list_classes for seamless planning.

The Picktime 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 Picktime to LlamaIndex via MCP

Follow these steps to integrate the Picktime 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 Picktime

Why Use LlamaIndex with the Picktime MCP Server

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

01

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

02

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

03

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

04

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

Picktime + LlamaIndex Use Cases

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

01

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

02

Data enrichment: query Picktime 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 Picktime for fresh data

04

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

Picktime MCP Tools for LlamaIndex (10)

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

01

cancel_booking

Cancel a Picktime booking with a reason. The customer receives a cancellation notification and the time slot becomes available again for new bookings

02

get_availability

Get available booking time slots for a specific Picktime service on a given date. Returns free windows considering staff schedules, existing bookings, and buffer times. Essential for building custom booking flows

03

get_booking_details

Get full details of a specific Picktime booking including customer contact info, service booked, staff assigned, start/end times, payment status, and any customer notes

04

get_location

Used to resolve workspace boundaries before hitting schedules. Get detailed configuration for a specific Picktime location by ID. Returns location name, address, timezone, working hours, booking URL, and linked calendar/payment integrations

05

get_service_details

Get detailed configuration for a specific Picktime service. Returns name, duration, price, description, staff assignments, booking limits, and cancellation policy

06

list_bookings

List all bookings for a Picktime location with optional date filter. Returns customer names, booked services, staff assignments, times, statuses, and payment info. Essential for schedule management

07

list_classes

List all group classes configured for a Picktime location. Classes are multi-attendee bookings with capacity limits — yoga sessions, workshops, group trainings

08

list_locations

List all business locations configured in Picktime. Each location operates independently with its own services, staff, working hours, and booking pages. Multi-location businesses manage branches separately

09

list_services

List all bookable services for a Picktime location. Returns service names, durations, prices, descriptions, assigned staff, and buffer times. Services define what customers can book

10

list_staff

List all staff members at a Picktime location. Returns staff names, emails, roles, assigned services, working hours, and active status. Staff availability determines bookable time slots

Example Prompts for Picktime in LlamaIndex

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

01

"Find all of our active clinic locations in the Picktime registry."

02

"Cancel the booking record identified as BK123456."

03

"Can you check the availability data for 'Hair Styling' next Monday?"

Troubleshooting Picktime MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Picktime + LlamaIndex FAQ

Common questions about integrating Picktime 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 Picktime 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 Picktime to LlamaIndex

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