How to integrate Formdesk MCP with LangChain

This guide walks you through connecting Formdesk to LangChain using the Composio tool router. By the end, you'll have a working Formdesk agent that can add a new field to your registration form, submit a new entry to feedback form 12345, delete the email field from survey form 67890 through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Formdesk account through Composio's Formdesk MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Formdesk is an online form builder for creating and managing professional forms. It's perfect for collecting data, automating workflows, and integrating form submissions with your favorite services.

21 Tools

Introduction

This guide walks you through connecting Formdesk to LangChain using the Composio tool router. By the end, you'll have a working Formdesk agent that can add a new field to your registration form, submit a new entry to feedback form 12345, delete the email field from survey form 67890 through natural language commands.

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

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

Also integrate Formdesk 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 Formdesk project to Composio
  • Create a Tool Router MCP session for Formdesk
  • Initialize an MCP client and retrieve Formdesk tools
  • Build a LangChain agent that can interact with Formdesk
  • 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 Formdesk MCP server, and what's possible with it?

The Formdesk MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Formdesk account. It provides structured and secure access to your online forms, so your agent can perform actions like submitting entries, managing form fields, handling visitors, and retrieving detailed information on your behalf.

  • Automated form entry submission: Let your agent instantly submit new responses to any of your Formdesk forms using collected or generated data.
  • Dynamic form structure management: Easily create new fields or delete existing ones, allowing your agent to adapt forms as your requirements change.
  • Detailed entry and field retrieval: Have your agent fetch comprehensive details about specific form entries or fields for auditing, review, or analysis.
  • Visitor management automation: Add or remove visitors in your forms, streamlining registration and access workflows with AI assistance.
  • Effortless form and data cleanup: Direct your agent to delete forms, entries, fields, or visitors, keeping your Formdesk workspace organized and up to date.

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 Formdesk 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 Formdesk 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: ['formdesk']
    }
);

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

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "formdesk-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 Formdesk MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Formdesk 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 Formdesk 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 Formdesk 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: ['formdesk']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "formdesk-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 Formdesk 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 Formdesk 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 Formdesk action and event your agent gets out of the box.

Validate Formdesk Authentication

Validates the Formdesk API bearer token and returns authentication details.

Create Formdesk Entry

Submit a new entry (result) to a Formdesk form.

Create Field

Creates a new field in a Formdesk form.

Create Visitor

Tool to add a new visitor to a specific Formdesk form.

Delete Formdesk Entry

Deletes a specific entry (form submission/result) from a Formdesk form.

Delete Field in Formdesk

Tool to delete a specific field in a Formdesk form.

Delete Form in Formdesk

Delete a specific form from Formdesk.

Delete Visitor in Formdesk

Deletes a specific visitor from a Formdesk form.

Get Field Details

Retrieves comprehensive details about a specific field in a Formdesk form.

Get Form Details

Retrieves comprehensive details about a specific Formdesk form by its ID.

Get Form Fields

Tool to retrieve all fields of a specific form.

Get Form List

Retrieve a list of all forms in the Formdesk account.

Get Form Visitors

Retrieves all visitors registered to access a specific Formdesk form.

Get Visitor Details

Retrieve complete details of a specific visitor in a Formdesk form.

KVK Handelsregister Lookup

Tool to lookup company details from the Dutch KVK Handelsregister.

Manage Visitor Entries

Retrieve form entries (submissions) from a Formdesk form.

Create Multi-Page Form

Tool to create a multi-page Formdesk form.

Update Field

Updates properties of an existing field in a Formdesk form.

Update Form

Updates properties of an existing form in Formdesk.

Update Visitor

Update an existing visitor's attributes in a Formdesk form.

Webhook Integration

Tool to send form submission data to external webhooks.

FRAMEWORKS

How to build Formdesk MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Formdesk MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Formdesk MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Formdesk MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Formdesk MCP with Claude Cowork

Codex logo

Codex

Use Formdesk MCP with Codex

OpenClaw logo

OpenClaw

Use Formdesk MCP with OpenClaw

Hermes logo

Hermes

Use Formdesk MCP with Hermes

CLI logo

CLI

Use Formdesk MCP with CLI

Google ADK logo

Google ADK

Use Formdesk MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Formdesk MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Formdesk MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Formdesk MCP with LlamaIndex

CrewAI logo

CrewAI

Use Formdesk MCP with CrewAI

FAQ

Frequently asked questions

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

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

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