# How to integrate Simplesat MCP with LangChain

```json
{
  "title": "How to integrate Simplesat MCP with LangChain",
  "toolkit": "Simplesat",
  "toolkit_slug": "simplesat",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/simplesat/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/simplesat/framework/langchain.md",
  "updated_at": "2026-05-12T10:26:22.911Z"
}
```

## Introduction

This guide walks you through connecting Simplesat to LangChain using the Composio tool router. By the end, you'll have a working Simplesat agent that can add new customer from support ticket, update customer details after feedback received, add new team member to simplesat through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Simplesat account through Composio's Simplesat MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Simplesat with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Connect your Simplesat project to Composio
- Create a Tool Router MCP session for Simplesat
- Initialize an MCP client and retrieve Simplesat tools
- Build a LangChain agent that can interact with Simplesat
- 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 Simplesat MCP server, and what's possible with it?

The Simplesat MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Simplesat account. It provides structured and secure access to your customer feedback platform, so your agent can perform actions like managing customer records, updating team members, streamlining survey workflows, and keeping your feedback data consistent.
- Automated customer record management: Easily create new customers or update existing customer details in Simplesat using only an email address—no manual entry needed.
- Seamless team member administration: Add new team members or update their information, including names, roles, and contact details, without digging through the Simplesat dashboard.
- Synchronize CRM data with Simplesat: Keep your customer and team member lists up to date by letting your agent push changes from your CRM or helpdesk directly into Simplesat.
- Bulk onboarding and updates: Efficiently onboard new team members or migrate customer data in bulk by automating repetitive record creation or updates.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SIMPLESAT_CREATE_OR_UPDATE_CUSTOMER2` | Create or Update Customer V2 | Tool to create a new customer or update an existing customer if one already exists with the same email. Use when you need to add or modify customer information including name, email, company, tags, external_id, and custom attributes. |
| `SIMPLESAT_CREATE_OR_UPDATE_TEAM_MEMBER` | Create or Update Team Member | This tool creates a new team member or updates an existing one if a team member with the same email address is found. It is an independent action that requires only basic team member information (email, first_name, last_name, and optionally title and phone) and does not depend on any other resource IDs. |
| `SIMPLESAT_GET_CUSTOMER` | Get Customer | Tool to retrieve a single customer by their Simplesat ID. Returns customer details including name, email, company, tags, and custom attributes. |
| `SIMPLESAT_LIST_QUESTIONS` | List Questions | Tool to retrieve a paginated list of all questions in Simplesat. Use when you need to fetch question details including order, metric type, text, rating scale, choices, and conditional rules. Supports filtering by metric (csat, nps, ces) and survey_id. |
| `SIMPLESAT_LIST_SURVEYS` | List Surveys | Tool to list all surveys in the Simplesat account. Returns survey details including id, name, and metric type (CSAT, NPS, CES). Use when you need to retrieve available surveys or find a specific survey by name or metric type. |
| `SIMPLESAT_SEARCH_ANSWERS` | Search Answers | Tool to search and retrieve answers from Simplesat with advanced filtering. Use when you need to find specific answers based on filters like date range, choice value, sentiment, survey, customer, or custom attributes. If no filters are provided, returns all answers from the last 30 days by default. |
| `SIMPLESAT_SEARCH_RESPONSES` | Search Responses | Tool to search and retrieve responses from Simplesat by applying specific filters. Returns all responses from the last 30 days by default if no date range is specified. Supports filtering by date range, choice value, collaborator, company, comment, customer, sentiment, metric, survey, tag, team member, ticket_id, and custom attributes. Use this when you need to find specific responses based on criteria like sentiment, customer, or time period. |
| `SIMPLESAT_UPDATE_CUSTOMER` | Update Customer | Tool to update an existing customer by their Simplesat ID. Use when you need to modify customer information such as name, email, company, external ID, tags, or custom attributes. |

## Supported Triggers

None listed.

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

The Simplesat MCP server is an implementation of the Model Context Protocol that connects your AI agent to Simplesat. It provides structured and secure access so your agent can perform Simplesat 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 Simplesat 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 Simplesat 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 Simplesat tools as needed
```python
# Create Tool Router session for Simplesat
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['simplesat']
)

url = session.mcp.url
```

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

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

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

No description provided.
```python
client = MultiServerMCPClient({
    "simplesat-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({
    "simplesat-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 Simplesat 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 Simplesat 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=['simplesat']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "simplesat-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 Simplesat 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: ['simplesat']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "simplesat-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 Simplesat 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 Simplesat 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 Simplesat MCP Agent with another framework

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

## Related Toolkits

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- [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
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- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback.
- [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses.

## Frequently Asked Questions

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

With a standalone Simplesat MCP server, the agents and LLMs can only access a fixed set of Simplesat tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Simplesat 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 Simplesat tools.

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

Yes, absolutely. You can configure which Simplesat 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 Simplesat data and credentials are handled as safely as possible.

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