# How to integrate Supersaas MCP with LangChain

```json
{
  "title": "How to integrate Supersaas MCP with LangChain",
  "toolkit": "Supersaas",
  "toolkit_slug": "supersaas",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/supersaas/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/supersaas/framework/langchain.md",
  "updated_at": "2026-03-29T06:52:09.204Z"
}
```

## Introduction

This guide walks you through connecting Supersaas to LangChain using the Composio tool router. By the end, you'll have a working Supersaas agent that can book a new appointment for alice, list all bookings for next week, cancel tomorrow's appointment for john through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Supersaas account through Composio's Supersaas MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Supersaas with

- [OpenAI Agents SDK](https://composio.dev/toolkits/supersaas/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/supersaas/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/supersaas/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/supersaas/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/supersaas/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/supersaas/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/supersaas/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/supersaas/framework/cli)
- [Google ADK](https://composio.dev/toolkits/supersaas/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/supersaas/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/supersaas/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/supersaas/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/supersaas/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Supersaas project to Composio
- Create a Tool Router MCP session for Supersaas
- Initialize an MCP client and retrieve Supersaas tools
- Build a LangChain agent that can interact with Supersaas
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## What is the Supersaas MCP server, and what's possible with it?

The Supersaas MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Supersaas account. It provides structured and secure access so your agent can perform Supersaas operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SUPERSAAS_CREATE_USER` | Create User | Tool to create a new user in SuperSaaS. Use when you need to add a user to the account. The username is required; all other fields are optional. If a foreign_key is provided, SuperSaaS will use it instead of generating its own ID. Set duplicate='raise' to prevent creating duplicate users with the same foreign key. |
| `SUPERSAAS_DELETE_USER` | Delete User | Tool to delete a SuperSaaS user by their ID. Use when you need to permanently remove a user from the system. |
| `SUPERSAAS_GET_USER` | Get User | Tool to read a single user by ID from SuperSaaS. Use when you need to retrieve detailed information about a specific user. |
| `SUPERSAAS_LIST_FIELD_LIST` | List Field List | Tool to retrieve available fields on Schedule or User objects. Use when you need to discover what custom fields are configured for a schedule or user profile. |
| `SUPERSAAS_LIST_USER_GROUPS` | List User Groups | Tool to retrieve all user groups defined in a SuperSaaS account. Use when you need to list groups for managing user access or organizing users. |
| `SUPERSAAS_LIST_PROMOTIONS` | List Promotions | Tool to list all promotional coupon codes in the account or retrieve a single promotion by code. Use when you need to view available promotions or check details of a specific promotion code. |
| `SUPERSAAS_LIST_SCHEDULES` | List Schedules | Tool to retrieve all schedules in a SuperSaaS account with their IDs and names. Use when you need to list available schedules or get schedule IDs for other operations. |
| `SUPERSAAS_LIST_FORM_DEFINITIONS` | List Form Definitions | Tool to retrieve all form definitions in a SuperSaaS account with their IDs and names. Use when you need to list available forms or get form IDs for other operations. |
| `SUPERSAAS_LIST_USERS` | List Users | Tool to list all users in the SuperSaaS account. Use when you need to retrieve users with optional pagination using limit and offset parameters. |
| `SUPERSAAS_UPDATE_USER` | Update User | Tool to update an existing SuperSaaS user by ID. Use when you need to modify user details like name, email, phone, or role. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Supersaas MCP server is an implementation of the Model Context Protocol that connects your AI agent to Supersaas. It provides structured and secure access so your agent can perform Supersaas operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

No description provided.

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Supersaas tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Supersaas tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Supersaas tools as needed
```python
# Create Tool Router session for Supersaas
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['supersaas']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['supersaas']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "supersaas-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "supersaas-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Supersaas related question or task to the agent.\n")

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ['exit', 'quit', 'bye']:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Supersaas related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
```

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['supersaas']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "supersaas-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Supersaas related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['supersaas']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "supersaas-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Supersaas related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
```

## Conclusion

You've successfully built a LangChain agent that can interact with Supersaas through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Supersaas MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/supersaas/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/supersaas/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/supersaas/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/supersaas/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/supersaas/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/supersaas/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/supersaas/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/supersaas/framework/cli)
- [Google ADK](https://composio.dev/toolkits/supersaas/framework/google-adk)
- [Vercel AI SDK](https://composio.dev/toolkits/supersaas/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/supersaas/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/supersaas/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/supersaas/framework/crew-ai)

## Related Toolkits

- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.
- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Apaleo](https://composio.dev/toolkits/apaleo) - Apaleo is a cloud-based property management platform for hospitality businesses. It centralizes reservations, billing, and daily operations for smoother hotel management.
- [Appointo](https://composio.dev/toolkits/appointo) - Appointo is an appointment booking platform for Shopify stores. It lets businesses add online scheduling to their websites with zero coding.
- [Ascora](https://composio.dev/toolkits/ascora) - Ascora is a cloud-based field service management platform for service businesses. It streamlines scheduling, invoicing, and customer operations in one place.
- [Bart](https://composio.dev/toolkits/bart) - Bart is the Bay Area Rapid Transit system, providing fast public transportation across the San Francisco Bay Area. It helps commuters and travelers get real-time schedule info, plan routes, and stay updated on service changes.
- [Basecamp](https://composio.dev/toolkits/basecamp) - Basecamp is a project management and team collaboration tool by 37signals. It helps teams organize tasks, share files, and communicate efficiently in one place.
- [Beeminder](https://composio.dev/toolkits/beeminder) - Beeminder is an online goal-tracking platform that uses monetary pledges to keep you motivated. Stay accountable and hit your targets with real financial incentives.
- [Bookingmood](https://composio.dev/toolkits/bookingmood) - Bookingmood is commission-free booking software for rental businesses. It lets you manage reservations and sync bookings directly on your website.
- [Booqable](https://composio.dev/toolkits/booqable) - Booqable is a rental software platform for managing inventory, bookings, and reservations. It helps businesses streamline rentals and keep track of every item with ease.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Supersaas MCP?

With a standalone Supersaas MCP server, the agents and LLMs can only access a fixed set of Supersaas tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Supersaas and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with LangChain?

Yes, you can. LangChain fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Supersaas tools.

### Can I manage the permissions and scopes for Supersaas while using Tool Router?

Yes, absolutely. You can configure which Supersaas scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Supersaas data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)