How to integrate Basin MCP with LangChain

This guide walks you through connecting Basin to LangChain using the Composio tool router. By the end, you'll have a working Basin agent that can create a new form for event signups, delete an old feedback form from project, get details of your contact form through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Basin account through Composio's Basin MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Basin is a no-code form backend for quickly setting up reliable contact forms. It lets you collect and manage form submissions without writing any server-side code.

19 Tools

Introduction

This guide walks you through connecting Basin to LangChain using the Composio tool router. By the end, you'll have a working Basin agent that can create a new form for event signups, delete an old feedback form from project, get details of your contact form through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Basin account through Composio's Basin MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Basin with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

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

The Basin MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Basin account. It provides structured and secure access to your forms and projects, so your agent can perform actions like creating forms, managing webhooks, organizing projects, and retrieving domain or form details on your behalf.

  • Instant form creation and management: Ask your agent to set up new forms with custom settings, associate them with projects, or delete forms you no longer need—all without manual coding.
  • Seamless project organization: Let your agent create new Basin projects to group related forms or delete obsolete projects, keeping your workspace tidy and efficient.
  • Automated webhook and integration setup: Have your agent add or remove webhooks for specific forms, so submissions are instantly routed to the right endpoints or external services.
  • Detailed form and account insights: Retrieve rich metadata about any form or get a full list of domains linked to your Basin account, helping you monitor and audit your form infrastructure.
  • Effortless notification management: Empower your agent to configure notification webhooks, ensuring critical submissions reach your team or external tools in real time.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

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

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

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

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
5

Import dependencies

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();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Basin functionality through MCP
6

Initialize Composio client

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()
    });
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 Basin tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

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

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Basin 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 Basin tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "basin-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 });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Basin MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Basin tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Basin 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);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Basin and LangChain:

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: ['basin']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "basin-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 Basin 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 Basin 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.
TOOLS

Supported Tools

Every Basin action and event your agent gets out of the box.

Create Form

Tool to create a new form in Basin.

Create Form Webhook

Tool to create a new webhook for a specific form.

Create Project

Tool to create a new Basin project.

Delete Form

Tool to delete a form.

Delete Project

Tool to delete a project.

Delete Submission

Tool to permanently delete a form submission by its ID.

Delete Webhook

Tool to delete a specific webhook.

Get Domains

Tool to retrieve a list of all custom domains associated with the Basin account.

Get Form Details

Retrieves comprehensive details about a specific Basin form including configuration, notification settings, security options, branding, webhooks, and submission counts.

Get Forms

Retrieves a list of all Basin forms with their configuration and metadata.

Get Form Webhook

Tool to retrieve details of a specific form webhook by its ID.

Get Project Details

Tool to retrieve detailed information about a specific project.

Get Projects

Retrieves a list of Basin projects from your account.

Get Submissions

Retrieve form submissions from Basin with optional filtering, sorting, and search capabilities.

Get Webhooks

Tool to retrieve all webhooks associated with a specific form.

List Form Views

Retrieves a list of all Basin form views with their configuration and metadata.

Update Form

Tool to update an existing Basin form by ID.

Update Project

Tool to update details of an existing project.

Update Webhook

Tool to update settings of an existing webhook for a form.

FRAMEWORKS

How to build Basin MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Basin MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Basin MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Basin MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Basin MCP with Claude Cowork

Codex logo

Codex

Use Basin MCP with Codex

OpenClaw logo

OpenClaw

Use Basin MCP with OpenClaw

Hermes logo

Hermes

Use Basin MCP with Hermes

CLI logo

CLI

Use Basin MCP with CLI

Google ADK logo

Google ADK

Use Basin MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Basin MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Basin MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Basin MCP with LlamaIndex

CrewAI logo

CrewAI

Use Basin MCP with CrewAI

FAQ

Frequently asked questions

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

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 Basin tools.

Yes, absolutely. You can configure which Basin 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.

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 Basin data and credentials are handled as safely as possible.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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