# How to integrate Dotsimple MCP with LangChain

```json
{
  "title": "How to integrate Dotsimple MCP with LangChain",
  "toolkit": "Dotsimple",
  "toolkit_slug": "dotsimple",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/dotsimple/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/dotsimple/framework/langchain.md",
  "updated_at": "2026-05-12T10:09:37.108Z"
}
```

## Introduction

This guide walks you through connecting Dotsimple to LangChain using the Composio tool router. By the end, you'll have a working Dotsimple agent that can list all scheduled posts for this week, delete unused media files from workspace, create a tag named 'campaign2024' with color #ff5733 through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Dotsimple account through Composio's Dotsimple MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Dotsimple with

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

## TL;DR

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

The Dotsimple MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dotsimple account. It provides structured and secure access to your social media management tools, so your agent can create, organize, and schedule content, fetch analytics, and manage media with ease.
- Seamless content planning and publishing: Instruct your agent to list posts, schedule content, and manage publishing workflows across all your connected social media accounts.
- Media library management: Effortlessly browse, retrieve, and delete media files, making content curation and cleanup simple and automated.
- Custom tag creation and organization: Have your agent create new tags, fetch tag details, or remove unwanted tags to keep your content organized and searchable.
- Performance analytics and reporting: Quickly fetch account-level reports and metrics, enabling your agent to deliver insights and optimize your social media strategy.
- Autoresponder management: Let your agent list and review all autoresponders, so you can easily keep tabs on automated engagement tools.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DOTSIMPLE_CREATE_TAG` | Create Tag | Create a new tag in DotSimple workspace for categorizing and organizing social media content. Tags are used to label and filter posts, drafts, and media files in DotSimple. Each tag has a unique name and color for easy visual identification in the dashboard. Use this tool when you need to: - Create a new category for content organization - Set up tags before scheduling posts - Organize content by topics, campaigns, or priorities Example: Create a tag named "news" with sky blue color "#38bdf8" for news-related posts. Note: Requires workspace_id in authentication configuration. Get your workspace_id from the DotSimple dashboard URL: https://app.dotsimple.io/app/YOUR-WORKSPACE-ID/ |
| `DOTSIMPLE_DELETE_MEDIA_FILES` | Delete Media Files | Deletes one or more media files (images/videos) from your DotSimple workspace. Use this tool when you need to remove media files that are no longer needed. You must provide the media file IDs as strings. Use the list_media_files tool first to get the IDs of files you want to delete. Returns a success indicator when deletion completes. |
| `DOTSIMPLE_DELETE_TAG` | Delete Tag | Delete a tag by its UUID from your DotSimple workspace. Use this tool when you need to remove a specific tag. Ensure the UUID is correct before invoking. The tag will be permanently deleted from your workspace. Note: Requires workspace_id in authentication configuration. Get your workspace_id from the DotSimple dashboard URL: https://app.dotsimple.io/app/YOUR-WORKSPACE-ID/ |
| `DOTSIMPLE_GET_MEDIA_FILE` | Get Media File | Tool to retrieve details of a specific media file. Use when you have the mediaFileId and need its metadata. |
| `DOTSIMPLE_GET_TAG` | Get Tag by UUID | Tool to retrieve details for a specific tag by UUID. Use when you need full tag information after obtaining its identifier. |
| `DOTSIMPLE_LIST_ACCOUNTS` | List Accounts | List all connected social media accounts in the DotSimple workspace. Returns details about each connected account including ID, name, type (e.g., Google, Microsoft), connection status, and credentials. Use this to discover available accounts before posting or scheduling content to social platforms. Note: Requires workspace_id to be configured in auth settings or provided as a parameter. |
| `DOTSIMPLE_LIST_AUTORESPONDERS` | List Autoresponders | List all autoresponders in the DotSimple workspace with optional pagination. Returns details about each autoresponder including ID, name, and status. Use this to browse through your autoresponder setup and check their current state. Note: Requires workspace_id to be configured in auth settings or provided as a parameter. |
| `DOTSIMPLE_LIST_MEDIA_FILES` | List Media Files | List all media files in a DotSimple workspace with optional pagination. This tool retrieves media files from a specific workspace. The workspace_id is required and can be found in the DotSimple dashboard URL. Use when you need to: - Browse all uploaded media files - Retrieve media file metadata (name, type, URL, thumbnail) - Paginate through media library |
| `DOTSIMPLE_LIST_POSTS` | List Posts | List all posts in a DotSimple workspace with optional pagination. This tool retrieves posts from a specific workspace. The workspace_id is required and can be found in your DotSimple dashboard URL (e.g., https://app.dotsimple.io/app/YOUR-WORKSPACE-UUID/...). Use this when you need to: - View all posts in a workspace - Paginate through large sets of posts - Check post status (published/draft) - Access post metadata (author, timestamps, content) Pagination is supported via optional page and page_size parameters. |
| `DOTSIMPLE_LIST_REPORTS` | List Reports | List all account-level email marketing reports from the DotSimple workspace. Returns paginated report entries with aggregated metrics for each date, including emails sent, delivered, opens, clicks, unsubscribes, bounces, and complaints. Use this to fetch account-level performance metrics chronologically after authentication. Note: Requires workspace_id to be configured in auth settings or provided as a parameter. |
| `DOTSIMPLE_LIST_TAGS` | List Tags | List all tags available in a DotSimple workspace for content organization and categorization. Tags in DotSimple are used to label and categorize social media posts, drafts, and media files. Each tag has a unique name and hex color for visual identification. Use this tool when you need to: - View all available tags in the workspace - Get tag IDs for assigning to posts - Retrieve tag colors and metadata - Check existing tags before creating new ones **Required:** workspace_id (UUID format) - obtain from DotSimple dashboard URL or connection config |

## Supported Triggers

None listed.

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

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

url = session.mcp.url
```

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

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

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

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

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

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

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

## Related Toolkits

- [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide.
- [Instagram](https://composio.dev/toolkits/instagram) - Instagram is a social platform for sharing photos, videos, and stories with your audience. It helps brands and creators engage, grow, and analyze their online presence.
- [Ayrshare](https://composio.dev/toolkits/ayrshare) - Ayrshare is a Social Media API for managing, automating, and analyzing posts across multiple platforms. It helps you streamline social media workflows and centralize analytics.
- [Strava](https://composio.dev/toolkits/strava) - Strava is a social fitness network and app for cyclists and runners. It's perfect for tracking workouts, sharing progress, and joining active communities.
- [Tiktok](https://composio.dev/toolkits/tiktok) - Tiktok is a short-form video platform for creating, sharing, and discovering viral content. It helps creators and brands reach massive audiences with creative tools and global social features.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [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 Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management.
- [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.
- [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure.
- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
- [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.
- [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools 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.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place.
- [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms.
- [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action.

## Frequently Asked Questions

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

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

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

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

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