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Vinkius runs on LangChain

How to Use the Picktime MCP in LangChain

Build complex scheduling chains in LangChain. Use the Picktime MCP Server to turn raw booking data into automated action sequences.

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Works with every AI agent you already use

…and any MCP-compatible client

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MCP Servers — Included with Plan
Vinkius runs on LangChain

Connect Picktime MCP to LangChain

Create your Vinkius account to connect Picktime to LangChain — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Chain booking actions in LangChain

Connect `list_services` to `get_availability` to build automated booking pipelines. Your agent evaluates the service list first, then queries open slots for a specific date. This workflow ensures your agent only proposes valid times. It eliminates the need for hardcoded logic when checking staff schedules through `list_staff`.

Automate scheduling via MCP Server

Inject the Picktime MCP Server tools directly into your LangChain agent. Your agent uses `get_booking_details` to verify client info before executing a `cancel_booking` command. This creates a reliable loop for managing appointments. Every step is traceable, allowing you to monitor how the agent handles customer requests.

Manage locations with precision

Use `list_locations` to map out your business branches before running operations. The agent identifies the correct location ID, preventing cross-branch booking errors. Once the location is set, tools like `list_classes` provide accurate session data. This keeps your scheduling logic clean and branch-specific.

Setup guide

Set up Picktime MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Picktime tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "picktime-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Picktime transactions"
    })
    print(result["messages"][-1].content)

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

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 Picktime MCP in LangChain

Install the necessary adapters and initialize the client using the server URL. Pass the tool list into your agent constructor to enable direct scheduling control.
Yes. Your agent can call `cancel_booking` by passing the required reservation ID. It verifies the booking details first to ensure the correct appointment is removed.
Absolutely. Use `list_locations` to detect which branch the user is inquiring about. This allows the agent to scope all subsequent tool calls correctly.
Use `get_availability` to pull real-time slots. The tool processes existing bookings and buffers, giving your agent the data it needs to suggest times.
The server accesses only the booking metadata and customer contact info required for scheduling. No credentials are stored locally, and all interactions happen through your authenticated endpoint.

Start using the Picktime MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

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