# How to integrate Bubble MCP with LangChain

```json
{
  "title": "How to integrate Bubble MCP with LangChain",
  "toolkit": "Bubble",
  "toolkit_slug": "bubble",
  "framework": "LangChain",
  "framework_slug": "langchain",
  "url": "https://composio.dev/toolkits/bubble/framework/langchain",
  "markdown_url": "https://composio.dev/toolkits/bubble/framework/langchain.md",
  "updated_at": "2026-05-12T10:04:23.724Z"
}
```

## Introduction

This guide walks you through connecting Bubble to LangChain using the Composio tool router. By the end, you'll have a working Bubble agent that can create a new user in your bubble app, update a record in the bubble database, fetch all orders from your bubble store through natural language commands.
This guide will help you understand how to give your LangChain agent real control over a Bubble account through Composio's Bubble MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Bubble with

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

## TL;DR

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

The Bubble MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Bubble applications. It provides structured and secure access to your Bubble backend, so your agent can perform actions like creating and updating database entries, running workflows, fetching app data, and managing users on your behalf.
- Automated database management: Your agent can create, update, or delete entries in your Bubble app’s database, streamlining data operations without manual input.
- Workflow execution: Let your agent trigger workflows inside your Bubble app to automate complex business processes based on real-time prompts or events.
- Dynamic data queries: Effortlessly ask your agent to fetch, filter, or search records from any data type within your Bubble app and return structured results.
- User account administration: Enable your agent to create, update, or manage user profiles, permissions, and authentication flows directly in your Bubble environment.
- App configuration and resource management: Allow your agent to adjust application settings, manage resources, or monitor usage metrics—keeping your Bubble project running smoothly.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BUBBLE_DATA_BULK_CREATE_THINGS` | Bulk Create Things | Tool to bulk create multiple Things in Bubble via newline-separated JSON. Use when you need to insert many records at once. Must have Create via API permission. |
| `BUBBLE_DATA_CREATE_THING` | Create Thing | Tool to create a new Thing. Use when providing a complete JSON payload to add a new record. |
| `BUBBLE_DATA_DELETE_THING_BY_ID` | Delete Thing By ID | Tool to delete a Bubble Thing by its unique ID. Use when you need to remove a specific record via the Bubble Data API. |
| `BUBBLE_DATA_GET_THING_BY_ID` | Get Thing By ID | Retrieves a single Thing (record) from a Bubble Data Type by its unique ID. This is a read-only operation that fetches complete details of a specific record. The response includes all custom fields defined in the Data Type, plus standard Bubble fields (_id, created_by, created_date, modified_date). Use when you need to: - Fetch details of a specific record you know the ID of - Verify a record exists - Get the latest field values for a Thing Note: Requires the Data API to be enabled in your Bubble app settings and the specific Data Type to be exposed via the API. |
| `BUBBLE_DATA_PATCH_THING_BY_ID` | Patch Thing By ID | Tool to modify selected fields on a Thing by its unique ID. Use after confirming the Thing exists. |
| `BUBBLE_DATA_PUT_REPLACE_THING_BY_ID` | Replace Thing by ID | Tool to replace all editable fields on a Thing by its Unique ID. Use when you need a full overwrite of a Thing's fields and reset omitted fields to default. |
| `BUBBLE_FILE_DOWNLOAD` | Download File | Tool to download a file given its URL. Use when you need to retrieve file content and obtain an s3key for subsequent upload tests. |
| `BUBBLE_FILE_TEMP_CREATE` | Create Temp File | Tool to upload bytes as a temporary file to Cloudflare R2 and return an S3 key. Use when you need a short-lived file reference before persisting it in a Thing. |
| `BUBBLE_FILE_UPLOAD` | Upload File | Tool to upload a file to Bubble storage. Use when you need to store arbitrary files via Bubble's /fileupload endpoint. |
| `BUBBLE_META_GET_SWAGGER_JSON` | Get Bubble API Swagger JSON | Tool to retrieve the auto-generated Swagger JSON for enabled APIs. Use after enabling the Swagger file in your Bubble app's API settings. |
| `BUBBLE_O_AUTH_ACCESS_TOKEN` | Get OAuth Access Token | Tool to exchange an authorization code or refresh token for an OAuth2 access token. Use after obtaining an authorization code or when refreshing an expired token. |
| `BUBBLE_OAUTH_AUTHORIZE` | OAuth Authorize | Tool to initiate OAuth2 authorization flow for Bubble. Use when setting up third-party login integration. Returns the URL for user-agent redirection to obtain an authorization code. |
| `BUBBLE_O_AUTH_REGISTER_APP` | Bubble OAuth Register App | Tool to validate/initialize OAuth application credentials with Bubble. It performs a real call to Bubble's /oauth/authorize endpoint (or provided override) using client_id and redirect_uri to confirm connectivity and returns supplied credentials. |
| `BUBBLE_WORKFLOW_TRIGGER_GET` | Trigger Bubble Workflow via GET | Trigger a Bubble API workflow using an HTTP GET request. API workflows are server-side workflows in Bubble that can be triggered externally. Use GET for simple workflows that don't require a request body (parameters passed as query strings). For workflows requiring complex data or file uploads, use the POST version instead. Before using: The workflow must be created in Bubble's workflow editor and marked as "Expose as a public API workflow". The Bubble app must have API access enabled in its subscription. |
| `BUBBLE_WORKFLOW_TRIGGER_POST` | Trigger Bubble Workflow via POST | Triggers a Bubble API workflow by name using a POST request. Use this tool to execute backend workflows in your Bubble application. The workflow must be configured in your Bubble app's API Workflows section with "Expose as public API workflow" enabled. Pass any required parameters as a JSON object in the parameters field. |

## Supported Triggers

None listed.

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

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

url = session.mcp.url
```

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

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

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

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

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

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

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

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- [GitHub](https://composio.dev/toolkits/github) - GitHub is a code hosting platform for version control and collaborative software development. It streamlines project management, code review, and team workflows in one place.
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- [Anchor browser](https://composio.dev/toolkits/anchor_browser) - Anchor browser is a developer platform for AI-powered web automation. It transforms complex browser actions into easy API endpoints for streamlined web interaction.
- [Apiflash](https://composio.dev/toolkits/apiflash) - Apiflash is a website screenshot API for programmatically capturing web pages. It delivers high-quality screenshots on demand for automation, monitoring, or reporting.
- [Apiverve](https://composio.dev/toolkits/apiverve) - Apiverve delivers a suite of powerful APIs that simplify integration for developers. It's designed for reliability and scalability so you can build faster, smarter applications without the integration headache.
- [Appcircle](https://composio.dev/toolkits/appcircle) - Appcircle is an enterprise-grade mobile CI/CD platform for building, testing, and publishing mobile apps. It streamlines mobile DevOps so teams ship faster and with more confidence.
- [Appdrag](https://composio.dev/toolkits/appdrag) - Appdrag is a cloud platform for building websites, APIs, and databases with drag-and-drop tools and code editing. It accelerates development and iteration by combining hosting, database management, and low-code features in one place.
- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.
- [Better stack](https://composio.dev/toolkits/better_stack) - Better Stack is a monitoring, logging, and incident management solution for apps and services. It helps teams ensure application reliability and performance with real-time insights.
- [Bitbucket](https://composio.dev/toolkits/bitbucket) - Bitbucket is a Git-based code hosting and collaboration platform for teams. It enables secure repository management and streamlined code reviews.
- [Blazemeter](https://composio.dev/toolkits/blazemeter) - Blazemeter is a continuous testing platform for web and mobile app performance. It empowers teams to automate and analyze large-scale tests with ease.
- [Blocknative](https://composio.dev/toolkits/blocknative) - Blocknative delivers real-time mempool monitoring and transaction management for public blockchains. Instantly track pending transactions and optimize blockchain interactions with live data.

## Frequently Asked Questions

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

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

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

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

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