# How to integrate Botpress MCP with LangChain

```json
{
  "title": "How to integrate Botpress MCP with LangChain",
  "toolkit": "Botpress",
  "toolkit_slug": "botpress",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/botpress/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/botpress/framework/langchain.md",
  "updated_at": "2026-05-12T10:03:45.163Z"
}
```

## Introduction

This guide walks you through connecting Botpress to LangChain using the Composio tool router. By the end, you'll have a working Botpress agent that can list all active conversations for your bot, show issues reported for a specific bot, delete a file from a bot workspace through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Botpress account through Composio's Botpress MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Botpress with

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

## TL;DR

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

The Botpress MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Botpress account. It provides structured and secure access to your chatbot platform, so your agent can perform actions like listing conversations, managing bot files, tracking issues, and exploring workspaces on your behalf.
- Comprehensive conversation management: Retrieve and paginate through all chatbot conversations, making it easy to review chat history and analyze user interactions.
- Bot issue tracking and diagnostics: List and investigate issues related to specific bots, helping you stay informed about errors or configuration problems as they arise.
- Workspace discovery and organization: Browse both public and private workspaces, making it seamless to manage your bot environments or explore new collaborative spaces.
- File and tag oversight: List, manage, and categorize bot files and their associated tags or tag values, streamlining bot asset organization.
- Account information access: Instantly fetch authenticated account details so your agent always works with the latest profile and permission data.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BOTPRESS_BREAK_DOWN_WORKSPACE_USAGE_BY_BOT` | Break Down Workspace Usage By Bot | Tool to break down workspace usage by bot. Use this to get detailed usage metrics for individual bots within a workspace, such as invocation calls, storage count, or AI spend. |
| `BOTPRESS_CHARGE_WORKSPACE_UNPAID_INVOICES` | BOTPRESS_CHARGE_WORKSPACE_UNPAID_INVOICES | Tool to charge unpaid invoices for a specific Botpress workspace. Use when you need to manually trigger payment for outstanding workspace invoices. Returns details of successfully charged invoices and any that failed. |
| `BOTPRESS_CHECK_HANDLE_AVAILABILITY` | Check Handle Availability | Tool to check if a workspace handle is available in Botpress. Use when creating or renaming a workspace to verify the handle is not already taken. Returns availability status and suggestions for alternative handles if unavailable. |
| `BOTPRESS_CREATE_ADMIN_INTEGRATION` | BOTPRESS_CREATE_ADMIN_INTEGRATION | Tool to create a new integration in a Botpress workspace via the Admin API. Use when you need to provision a new integration with configuration including name, version, code, actions, events, and channels. |
| `BOTPRESS_CREATE_ADMIN_WORKSPACE` | BOTPRESS_CREATE_ADMIN_WORKSPACE | Tool to create a new workspace in Botpress via the Admin API. Use when you need to provision a new workspace for organizing bots and managing team resources. The workspace will be created under the authenticated account's ownership. |
| `BOTPRESS_CREATE_BOT` | BOTPRESS_CREATE_BOT | Tool to create a new bot in a Botpress workspace via the Admin API. Use when you need to provision a new bot with optional configuration including name, code, tags, events, states, and integrations. |
| `BOTPRESS_CREATE_CONVERSATION` | BOTPRESS_CREATE_CONVERSATION | Tool to create a new conversation in Botpress via the Runtime API. Use when you need to initiate a new conversation thread. The required tags must be provided according to the specific integration being used. |
| `BOTPRESS_DELETE_ADMIN_WORKSPACE` | Delete Admin Workspace | Tool to permanently delete a workspace from Botpress admin. Use this to remove workspaces that are no longer needed. The deletion is irreversible and removes all associated bots and data. |
| `BOTPRESS_DELETE_FILE` | Delete File | Permanently deletes a file from a Botpress bot's storage by its file ID. Use this tool to remove files that are no longer needed. The deletion is irreversible. Requires a valid file ID and the bot ID that owns the file. |
| `BOTPRESS_DELETE_INTEGRATION_SHAREABLE_ID` | Delete Integration Shareable ID | Tool to delete a shareable ID for an integration installed in a Botpress bot. Use when you need to remove the human-readable identifier for a specific bot-integration crossover. This is an experimental feature used for the integrations channel sandbox. |
| `BOTPRESS_DELETE_KNOWLEDGE_BASE` | Delete Knowledge Base | Permanently deletes a knowledge base from Botpress by its knowledge base ID. Use this tool to remove knowledge bases that are no longer needed. The deletion is irreversible. Requires a valid knowledge base ID and the bot ID that owns the knowledge base. |
| `BOTPRESS_GET_ACCOUNT` | Get Account | Tool to get details of the authenticated account. Use after confirming valid credentials. |
| `BOTPRESS_GET_ACCOUNT_PREFERENCE` | Get Account Preference | Tool to get a preference of the account. Use when you need to retrieve a specific account preference value by its key. |
| `BOTPRESS_GET_ALL_WORKSPACE_QUOTA_COMPLETION` | Get All Workspace Quota Completion | Tool to get a map of workspace IDs to their highest quota completion rate. Use when monitoring workspace usage or checking quota limits across multiple workspaces. |
| `BOTPRESS_GET_DEREFERENCED_PUBLIC_PLUGIN_BY_ID` | Get Dereferenced Public Plugin By ID | Tool to get a public plugin by ID with all interface entity references resolved to the corresponding entities as extended by the backing integrations. Use when you need to retrieve a plugin with its interfaces fully dereferenced using specific backing integrations. |
| `BOTPRESS_GET_INTEGRATION` | Get Integration | Tool to get a specific Botpress integration by name and version. Use this to retrieve detailed information about an integration including its configuration, actions, events, channels, and metadata. Supports retrieving specific versions or the latest version. |
| `BOTPRESS_GET_PUBLIC_INTEGRATION` | Get Public Integration | Tool to retrieve a public integration by name and version from the Botpress hub. Use when you need to get integration details, check available actions/events/channels, or verify integration configuration. |
| `BOTPRESS_GET_PUBLIC_INTEGRATION_BY_ID` | Get Public Integration By ID | Tool to retrieve detailed information about a public Botpress integration by its ID. Use when you need to fetch integration details including configuration, channels, actions, events, and metadata. |
| `BOTPRESS_GET_PUBLIC_INTERFACE` | Get Public Interface | Tool to get a public interface by name and version from the Botpress Hub. Use when you need to retrieve interface specifications, schemas, or metadata for integrations. |
| `BOTPRESS_GET_PUBLIC_INTERFACE_BY_ID` | Get Public Interface by ID | Tool to retrieve a public interface by its ID from the Botpress Hub. Use when you need to get detailed information about a specific interface including its actions, events, channels, and entities. |
| `BOTPRESS_GET_PUBLIC_PLUGIN` | Get Public Plugin | Tool to retrieve detailed information about a public plugin from Botpress Hub by name and version. Use when you need to inspect plugin configuration, dependencies, actions, events, or metadata before installation. |
| `BOTPRESS_GET_PUBLIC_PLUGIN_BY_ID` | Get Public Plugin By ID | Tool to retrieve details of a public plugin by its unique ID. Use this to get full plugin information including configuration, actions, events, and metadata. |
| `BOTPRESS_GET_PUBLIC_PLUGIN_CODE` | Get Public Plugin Code | Tool to retrieve public plugin code from Botpress Hub. Use when you need to access the source code for a specific plugin version on a particular platform (node or browser). |
| `BOTPRESS_GET_TABLE_ROW` | Get Table Row | Tool to fetch a specific row from a table using the row's unique identifier. Use when you need to retrieve detailed data for a specific table row. |
| `BOTPRESS_GET_UPCOMING_INVOICE` | Get Upcoming Invoice | Tool to get the upcoming invoice for a workspace. Use this to preview upcoming charges before they are billed. |
| `BOTPRESS_GET_WORKSPACE` | Get Workspace | Tool to get detailed information about a specific Botpress workspace by ID. Use this when you need to retrieve workspace details such as plan, bot count, owner, billing info, or settings for a known workspace ID. |
| `BOTPRESS_GET_WORKSPACE_QUOTA` | Get Workspace Quota | Tool to get workspace quota information for a specific usage type. Use when you need to check resource limits or usage for a workspace. |
| `BOTPRESS_LIST_ACTION_RUNS` | LIST_ACTION_RUNS | Tool to list action runs for a specific integration of a bot. Use when you need to retrieve execution history of actions for a bot's integration, optionally filtering by timestamp range and paginating through results. |
| `BOTPRESS_LIST_BOT_ISSUES` | LIST_BOT_ISSUES | Tool to list issues associated with a specific bot. Use when you need to discover errors or configuration problems tied to a bot, optionally paginating through results. |
| `BOTPRESS_LIST_CONVERSATIONS` | LIST_CONVERSATIONS | Tool to list all Conversations. Use when you need to retrieve and page through chat threads. |
| `BOTPRESS_LIST_FILE_TAGS` | LIST_FILE_TAGS | Tool to list all tags used across all bot files. Use when you need to retrieve or display file tag metadata; supports pagination via nextToken. |
| `BOTPRESS_LIST_FILE_TAG_VALUES` | LIST_FILE_TAG_VALUES | Tool to list all values for a given file tag across all files. Use after determining the tag name; supports pagination via nextToken. |
| `BOTPRESS_LIST_HUB_INTEGRATIONS` | LIST_HUB_INTEGRATIONS | Tool to list public integrations from the Botpress hub. Use when you need to browse available integrations, search for specific integration types, or filter integrations by various criteria such as verification status, interface, or installation status. |
| `BOTPRESS_LIST_INTEGRATION_API_KEYS` | LIST_INTEGRATION_API_KEYS | Tool to list Integration API Keys (IAKs) for a specific integration. Use when you need to retrieve all API keys associated with an integration within a workspace. |
| `BOTPRESS_LIST_INTEGRATIONS` | List Integrations | Tool to list integrations with filtering and sorting capabilities. Use when you need to browse available integrations, search for specific integration types, or filter integrations by various criteria such as verification status, interface, visibility, or installation status. |
| `BOTPRESS_LIST_KNOWLEDGE_BASES` | LIST_KNOWLEDGE_BASES | Tool to list knowledge bases for a bot. Use when you need to retrieve or display knowledge bases with optional tag filtering; supports pagination via nextToken. |
| `BOTPRESS_LIST_PLUGINS` | List Plugins | Tool to list Botpress plugins. Use to discover available plugins, filter by name or version, or page through all plugins in a workspace. |
| `BOTPRESS_LIST_PUBLIC_INTERFACES` | List Public Interfaces | Tool to retrieve a list of public interfaces available in the Botpress Hub. Use when browsing available interfaces to integrate with bots. |
| `BOTPRESS_LIST_PUBLIC_PLUGINS` | LIST_PUBLIC_PLUGINS | Tool to retrieve a list of public plugins available in the Botpress hub. Use when browsing available plugins or searching for specific plugins by name and version. |
| `BOTPRESS_LIST_PUBLIC_WORKSPACES` | LIST_PUBLIC_WORKSPACES | Tool to retrieve a list of public workspaces. Use when browsing publicly available workspaces before selection. |
| `BOTPRESS_LIST_USAGE_HISTORY` | LIST_USAGE_HISTORY | Tool to retrieve usage history for a bot or workspace. Use to track resource consumption, monitor quota usage, or analyze historical trends for metrics like AI spend, member count, or invocation calls. |
| `BOTPRESS_LIST_WORKSPACE_INVOICES` | List Workspace Invoices | Tool to list all invoices billed to a workspace. Use when you need to retrieve billing history and invoice details for a specific workspace. |
| `BOTPRESS_LIST_WORKSPACES` | LIST_WORKSPACES | List all Botpress workspaces accessible to the authenticated user. Use this to enumerate workspaces, check workspace details like bot count and plan type, or find a specific workspace by handle. Supports pagination for accounts with many workspaces. |
| `BOTPRESS_REQUEST_INTEGRATION_VERIFICATION` | Request Integration Verification | Tool to request verification for a Botpress integration via the Admin API. Use when you need to submit an integration for verification to make it available for public use. |
| `BOTPRESS_RUN_VRL` | BOTPRESS_RUN_VRL | Tool to execute a VRL (Vector Remap Language) script against input data using the Botpress Admin API. Use when you need to transform or process data using VRL syntax. The script receives the input data and can perform transformations, validations, or data manipulations. |
| `BOTPRESS_SEND_MESSAGE` | BOTPRESS_SEND_MESSAGE | Tool to send a message to an existing Botpress conversation via the Runtime API. Use when you need to create and deliver a message to a user. |
| `BOTPRESS_SET_ACCOUNT_PREFERENCE` | Set Account Preference | Tool to set a preference for the account. Use when you need to create or update a specific account preference by its key. |
| `BOTPRESS_SET_WORKSPACE_PREFERENCE` | Set Workspace Preference | Tool to set a preference for a Botpress workspace. Use when you need to store or update a workspace-specific preference value by its key. |
| `BOTPRESS_UPDATE_ACCOUNT` | Update Account | Tool to update details of the authenticated account. Use when you need to change the display name, profile picture, or refresh account data. |
| `BOTPRESS_UPDATE_ADMIN_BOTS` | BOTPRESS_UPDATE_ADMIN_BOTS | Tool to update an existing bot in a Botpress workspace via the Admin API. Use when you need to modify bot configuration, update tags, change code, or adjust any other bot properties. Only the fields you provide will be updated. |
| `BOTPRESS_UPDATE_ADMIN_WORKSPACE` | UPDATE_ADMIN_WORKSPACE | Tool to update a Botpress workspace via the Admin API. Use this to modify workspace properties including name, description, contact information, public visibility, handle, profile picture, social accounts, and spending limits. |
| `BOTPRESS_UPDATE_WORKFLOW` | BOTPRESS_UPDATE_WORKFLOW | Tool to update a workflow object in Botpress by setting parameter values. Use when you need to change workflow status, add output data, update tags, or set failure reasons. Any parameters not provided will remain unchanged. |
| `BOTPRESS_VALIDATE_INTEGRATION_UPDATE` | BOTPRESS_VALIDATE_INTEGRATION_UPDATE | Tool to validate an integration update request in Botpress Admin API. Use when you need to verify that integration update parameters are valid before performing the actual update. Returns success if the integration can be updated with the provided parameters. |

## Supported Triggers

None listed.

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

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

url = session.mcp.url
```

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

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

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

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

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

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

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

## Related Toolkits

- [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.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.
- [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement.
- [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team.
- [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs.
- [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code.
- [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets.
- [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features.
- [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks.
- [DeepSeek](https://composio.dev/toolkits/deepseek) - DeepSeek offers AI-powered chat, search, and language model services. It delivers advanced conversational and information retrieval tools for smarter workflows.
- [E2b](https://composio.dev/toolkits/e2b) - E2b is an open-source platform for running code in secure, sandboxed environments. It enables safe multi-language code execution for AI-powered apps.

## Frequently Asked Questions

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

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

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

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

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