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How to integrate Jotform MCP with Autogen

Connect Autogen to Jotform MCP. List all your active jotform forms, show recent changes to your account, and more using natural language, with authentication handled for you.

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Jotform is an online form builder for collecting information, surveys, and data. It streamlines data capture and automates workflows for teams and individuals.

34 Tools

Introduction

This guide walks you through connecting Jotform to AutoGen using the Composio tool router. By the end, you'll have a working Jotform agent that can create and clone forms, edit form questions, fetch submissions, set up webhooks, and organize forms with labels through natural language commands.

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

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

Also integrate Jotform with

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TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Jotform
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Jotform tools
  • Run a live chat loop where you ask the agent to perform Jotform operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

What is the Jotform MCP server, and what's possible with it?

The Jotform MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Jotform account. It provides structured and secure access to your forms, folders, and user data, so your agent can perform actions like retrieving form lists, checking account usage, accessing folders, and auditing user activity on your behalf.

  • Form discovery and listing: Instantly have your agent fetch and enumerate all forms you've created in your Jotform account.
  • User account insights: Retrieve up-to-date details about your Jotform user profile, account type, and current usage limits automatically.
  • Folder management and organization: Let your agent pull a list of your user folders, making it easy to reference, organize, or navigate different form projects.
  • Audit and activity history retrieval: Fetch a comprehensive log of your account activity to review recent actions, filter by activity type, or monitor changes.
  • Account settings access: Seamlessly access and review your Jotform user settings for troubleshooting or configuration checks via your AI agent.

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Jotform account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Jotform via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Jotform connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Jotform session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["jotform"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Jotform tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Jotform assistant agent with MCP tools
    agent = AssistantAgent(
        name="jotform_assistant",
        description="An AI assistant that helps with Jotform operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Jotform tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Jotform related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Jotform tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Jotform and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Jotform session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["jotform"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Jotform assistant agent with MCP tools
        agent = AssistantAgent(
            name="jotform_assistant",
            description="An AI assistant that helps with Jotform operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

        print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
        print("Ask any Jotform related question or task to the agent.\n")

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Jotform through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Jotform, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
TOOLS

Supported Tools

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

Clone Form

Tool to clone a single form in Jotform.

Create Form

Create one original Jotform form from supplied form definitions.

Create Form Question

Add one configured question to a Jotform form.

Create Form Questions

Add multiple questions to a Jotform form in one request.

Create Form Webhook

Register an HTTP or HTTPS endpoint to receive submissions from a form.

Create Label

Tool to create a new label for organizing forms in Jotform.

Delete Form Question

Delete one question from a Jotform form by its question ID.

Delete Label

Tool to delete a label along with all its sublabels.

Delete Submission

Delete one Jotform submission permanently by its submission ID.

Get Form

Retrieve one Jotform form by ID and return its persisted details.

Get Form Properties

Return the complete property collection for a specific Jotform form.

Get Form Question

Return one identified question from a specific Jotform form.

Get Label

Tool to retrieve details of a label by its ID, including name and color.

Get Label Resources

Tool to get a list of assets (forms) in a label and their associated information.

Get Submission

Retrieve one Jotform submission, including its dynamic answers, by ID.

Get System Plan

Tool to retrieve details of a specific system plan.

Get User Details

Tool to retrieve details of the authenticated user, including account and usage info.

Get User Folders

List Jotform labels, which replace folders, for the authenticated user.

Get User Forms

Tool to retrieve a list of forms created by the authenticated user.

Get User History

Tool to fetch user activity history records.

Get User Reports

Tool to retrieve list of report URLs for all forms in the account.

Get User Settings

Tool to retrieve the settings of the authenticated user.

Get User Setting By Key

Tool to retrieve a specific user setting by key.

Get User Submissions

Retrieve a page of submissions across the account's forms, with optional filtering and ordering.

Get User Usage

Tool to retrieve monthly usage statistics for the authenticated user.

List Form Files

Return uploaded-file records for a specific Jotform form.

List Form Questions

Return all questions and their configuration for a specific Jotform form.

List Form Submissions

Return one page of submissions belonging to a specific Jotform form.

List Form Webhooks

Return webhook subscriptions configured for a specific Jotform form.

Remove Resources from Label

Tool to remove specified resources (forms) from a label by their IDs and types.

Update Form Properties

Update multiple properties of a Jotform form from a JSON object.

Update Form Question

Update selected properties of one question in a Jotform form.

Update Label

Tool to update an existing label with new name or color settings.

Update User Settings

Tool to update user's settings like time zone, language, email, and website.

FRAMEWORKS

How to build Jotform MCP Agent with another framework

Claude Code logo

Claude Code

Use Jotform MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Jotform MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Jotform MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Jotform MCP with Claude Agent SDK

Codex logo

Codex

Use Jotform MCP with Codex

OpenClaw logo

OpenClaw

Use Jotform MCP with OpenClaw

Hermes logo

Hermes

Use Jotform MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Jotform MCP with Atomic Agent

Google ADK logo

Google ADK

Use Jotform MCP with Google ADK

LangChain logo

LangChain

Use Jotform MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Jotform MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Jotform MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Jotform MCP with LlamaIndex

CrewAI logo

CrewAI

Use Jotform MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Jotform MCP with Pydantic AI

FAQ

Frequently asked questions

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

Yes, you can. Autogen 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 Jotform tools.

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

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