How to Use the SuperSaaS MCP in LlamaIndex

Q: Does SuperSaaS support LlamaIndex for combining sources?

It does. You can use the includeresources=True setting to ensure that live API data, alongside your documents, gets combined into one unified index.

Ground your AI knowledge base in SuperSaaS data using LlamaIndex.

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 LlamaIndex

Create your Vinkius account to connect SuperSaaS to LlamaIndex — 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 LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Build Searchable Booking Records

Don't just call the tools; index the results. When you run `get_appointment_details` or `list_appointments`, that output becomes part of your searchable knowledge base. You can query past sessions and get answers grounded in actual SuperSaaS API data. This is perfect for RAG applications where you combine live scheduling records with documents. The index doesn't hallucinate; it points directly to the raw data retrieved from `get_appointment_details`.

Track Account Status and History

Need an audit trail? Use `list_account_users` and combine that result with `list_changes`. You index this history so your agent can answer questions like, 'What were the last three changes to User X?' This goes far beyond simple list retrieval. LlamaIndex treats these tool outputs as structured knowledge. You build a unified, queryable index that combines user lists, system schedules (`list_schedules`), and activity logs.

Deep Dive into User Information

When you call `get_user` or check the balance with `get_account_balance`, LlamaIndex indexes these facts. You can then ask complex questions like, 'What is the current user's credit balance and what are their primary roles?' The answer comes from synthesizing multiple indexed data points. This means your agent doesn't just get a JSON object; it gets an answer that cites specific API calls, giving you total confidence in the information.

Setup guide

Set up SuperSaaS 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 SuperSaaS 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 SuperSaaS tools.",
)
response = await agent.run("List recent SuperSaaS 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 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 LlamaIndex

SuperSaaS tool output becomes part of your searchable knowledge index. You pass results from tools like `get_appointment_details` to the index, allowing semantic retrieval later on.

Yes. By indexing API outputs—like a list of appointments or scheduled changes—you build RAG applications that answer questions based on the actual SuperSaaS records, not just general knowledge.

This server touches scheduling and billing data. You can index user lists (`list_account_users`), appointment details (`get_appointment_details`), and account balances (`get_account_balance`) into your knowledge base.

It does. You can use the `include_resources=True` setting to ensure that live API data, alongside your documents, gets combined into one unified index.

The server touches user and billing information. All indexed data points—whether it's a user record or an appointment detail—are treated as knowledge to be retrieved, ensuring the context is always accurate.

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