How to Use the SuperSaaS MCP in LangChain

Build multi-step reasoning pipelines for SuperSaaS using LangChain.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect SuperSaaS MCP to LangChain

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

GDPR Included with Plan

Setup SuperSaaS with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automate Booking Flows

Need to book someone? You'll start by checking the user status with `get_user`. Next, you can use that info to check what's available via `get_schedule`, and finally, execute the booking using `create_appointment`. This sequence handles the whole interaction. The agent decides which tools run and in what order. It takes the output from checking availability and feeds it directly into the creation step, making sure the flow is perfect every time.

Audit Scheduling Data

To audit a schedule, you'll first call `list_schedules` to see all available systems. Then, for a specific one, run `list_appointments` and check the history with `list_changes`. This gives your agent a complete picture of what happened. This chain lets your AI client build a robust report. It collects every data point—the list of appointments, the schedule details, and all changes—and passes them to the next step for analysis.

Manage Accounts and Appointments

Handling account updates means multiple steps. You can start by seeing who's registered using `list_account_users`. If you need details on a specific person, run `get_user`. Then, you update the data using `update_appointment` or even delete it with `delete_appointment`. The agent manages this complex task because it knows that listing users is just the first step; the next steps depend entirely on the user IDs found in the initial list.

Setup guide

Set up SuperSaaS MCP in LangChain

Prerequisites

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

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

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

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes SuperSaaS tool calls through the MCP protocol.
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({
    "supersaas-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 SuperSaaS transactions"
    })
    print(result["messages"][-1].content)

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 SuperSaaS. 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 SuperSaaS 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 SuperSaaS MCP in LangChain

SuperSaaS provides 11 tools that act as links in your chain. Your agent decides whether it needs to check the `get_account_balance` or if it should proceed straight to making a booking via `create_appointment`.

Absolutely. You can build multi-step reasoning that checks availability using `get_schedule`, validates the user with `get_user`, and then executes the booking in a single, traceable chain.

This server touches scheduling and billing data. You can access records like account users via `list_account_users` or review past bookings using `list_appointments`, which gives your agent concrete, actionable data.

Yes. The client supports multi-server aggregation, meaning you don't have to write separate chains for different services; they all connect through the same MCP adapter layer.

The server touches user and billing information. All actions, like calling `get_user` or checking balances via `get_account_balance`, are handled through secure, traceable API calls.

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