# How to integrate Formdesk MCP with Pydantic AI

```json
{
  "title": "How to integrate Formdesk MCP with Pydantic AI",
  "toolkit": "Formdesk",
  "toolkit_slug": "formdesk",
  "framework": "Pydantic AI",
  "framework_slug": "pydantic-ai",
  "url": "https://composio.dev/toolkits/formdesk/framework/pydantic-ai",
  "markdown_url": "https://composio.dev/toolkits/formdesk/framework/pydantic-ai.md",
  "updated_at": "2026-05-06T08:12:25.753Z"
}
```

## Introduction

This guide walks you through connecting Formdesk to Pydantic AI 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 Pydantic AI 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 SDK](https://composio.dev/toolkits/formdesk/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/formdesk/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/formdesk/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/formdesk/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/formdesk/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/formdesk/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/formdesk/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/formdesk/framework/cli)
- [Google ADK](https://composio.dev/toolkits/formdesk/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/formdesk/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/formdesk/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/formdesk/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/formdesk/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/formdesk/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up your Composio API key and User ID
- How to create a Composio Tool Router session for Formdesk
- How to attach an MCP Server to a Pydantic AI agent
- How to stream responses and maintain chat history
- How to build a simple REPL-style chat interface to test your Formdesk workflows

## What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.
Key features include:
- Type Safety: Built on Pydantic for automatic data validation
- MCP Support: Native support for Model Context Protocol servers
- Streaming: Built-in support for streaming responses
- Async First: Designed for async/await patterns

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FORMDESK_AUTOMATIC_LOGIN` | Automatic Login | Tool to perform automatic login to Formdesk and retrieve an access token. Use when you need to authenticate with username and password. |
| `FORMDESK_CREATE_ENTRY` | Create Formdesk Entry | Tool to submit a new entry to a Formdesk form. Use after collecting all form field values to send a new entry for a specific formId. Example: "Submit entry to form 12345 with first_name='Bob', email='bob@example.com'." |
| `FORMDESK_CREATE_FIELD` | Create Field | Tool to create a new field in a specific Formdesk form. Use after you have the formId and need to extend the form schema with an additional input. |
| `FORMDESK_CREATE_VISITOR` | Create Visitor | Tool to add a new visitor to a specific Formdesk form. Use when you need to register a visitor's metadata (e.g., name, email) before submitting entries. |
| `FORMDESK_DELETE_ENTRY` | Delete Formdesk Entry | Tool to delete a specific entry from a Formdesk form. Use after confirming the target entry exists. |
| `FORMDESK_DELETE_FIELD` | Delete Field in Formdesk | Tool to delete a specific field in a Formdesk form. Use after confirming formId and fieldId. |
| `FORMDESK_DELETE_FORM` | Delete Form in Formdesk | Tool to delete a specific form. Use when you need to permanently remove a form after confirming it's no longer needed. |
| `FORMDESK_DELETE_VISITOR` | Delete Visitor in Formdesk | Tool to delete a specific visitor in a Formdesk form. Use after confirming formId and visitorId. |
| `FORMDESK_GET_ENTRY_DETAILS` | Get Entry Details | Tool to retrieve detailed information about a specific Formdesk entry. Use after confirming you have the form ID and entry ID. |
| `FORMDESK_GET_FIELD_DETAILS` | Get Field Details | Tool to retrieve detailed information about a specific field. Use after confirming the formId and fieldId to inspect the field’s properties. |
| `FORMDESK_GET_FORM_DETAILS` | Get Form Details | Tool to retrieve detailed information about a specific Formdesk form. Use when you have the formId. |
| `FORMDESK_GET_FORM_ENTRIES` | Get Form Entries | Tool to retrieve all entries for a specified Formdesk form. Use when you need to list submissions for a form by its ID. |
| `FORMDESK_GET_FORM_FIELDS` | Get Form Fields | Tool to retrieve all fields of a specific form. Use after obtaining the formId to inspect its field definitions. |
| `FORMDESK_GET_FORM_LIST` | Get Form List | Tool to retrieve a list of all forms available in the account. Use after obtaining a valid bearer token. |
| `FORMDESK_GET_FORM_VISITORS` | Get Form Visitors | Tool to retrieve all visitors for a specified Formdesk form. Use when you need to list visitors by form ID. |
| `FORMDESK_GET_VISITOR_DETAILS` | Get Visitor Details | Tool to retrieve detailed information about a specific Formdesk visitor. Use after confirming you have the form ID and visitor ID. |
| `FORMDESK_KVK_HANDELSREGISTER_LOOKUP` | KVK Handelsregister Lookup | Tool to lookup company details from the Dutch KVK Handelsregister. Use when auto-filling company address fields. |
| `FORMDESK_MANAGE_VISITOR_ENTRIES` | Manage Visitor Entries | Tool to list or retrieve a visitor's own form entries. Use after authenticating visitor. |
| `FORMDESK_MULTIPLE_PAGES_FORM` | Create Multi-Page Form | Tool to create a multi-page Formdesk form. Use when you need forms split into multiple pages for better user experience. |
| `FORMDESK_PREPOPULATE_FIELDS` | Prepopulate Formdesk Fields | Tool to prepopulate form fields. Use when loading default, parameter-based, lookup, import, or webservice-provided values before displaying a form. |
| `FORMDESK_UPDATE_FIELD` | Update Field | Tool to update an existing field definition on a Formdesk form. Use when you need to modify field properties like label or validation rules. |
| `FORMDESK_UPDATE_FORM` | Update Form | Tool to update an existing form. Use when you need to modify form metadata after fetching current details. |
| `FORMDESK_UPDATE_VISITOR` | Update Visitor | Tool to update an existing visitor for a given form. Use when you have the formId and visitorId and need to modify visitor details. Only include fields you want to change. |
| `FORMDESK_WEBHOOK_INTEGRATION` | Webhook Integration | Tool to send form submission data to external webhooks. Use after retrieving entry details to push data to a custom endpoint. |

## Supported Triggers

None listed.

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

The Formdesk MCP server is an implementation of the Model Context Protocol that connects your AI agent to Formdesk. It provides structured and secure access so your agent can perform Formdesk 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

Before starting, make sure you have:
- Python 3.9 or higher
- A Composio account with an active API key
- Basic familiarity with Python and async programming

### 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

Install the required libraries.
What's happening:
- composio connects your agent to external SaaS tools like Formdesk
- pydantic-ai lets you create structured AI agents with tool support
- python-dotenv loads your environment variables securely from a .env file
```bash
pip install composio pydantic-ai python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your agent to Composio's API
- USER_ID associates your session with your account for secure tool access
- OPENAI_API_KEY to access OpenAI LLMs
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key
```

### 4. Import dependencies

What's happening:
- We load environment variables and import required modules
- Composio manages connections to Formdesk
- MCPServerStreamableHTTP connects to the Formdesk MCP server endpoint
- Agent from Pydantic AI lets you define and run the AI assistant
```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
```

### 5. Create a Tool Router Session

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
```python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Formdesk
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["formdesk"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
```

### 6. Initialize the Pydantic AI Agent

What's happening:
- The MCP client connects to the Formdesk endpoint
- The agent uses GPT-5 to interpret user commands and perform Formdesk operations
- The instructions field defines the agent's role and behavior
```python
# Attach the MCP server to a Pydantic AI Agent
formdesk_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[formdesk_mcp],
    instructions=(
        "You are a Formdesk assistant. Use Formdesk tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
```

### 7. Build the chat interface

What's happening:
- The agent reads input from the terminal and streams its response
- Formdesk API calls happen automatically under the hood
- The model keeps conversation history to maintain context across turns
```python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Formdesk.\n")

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", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
```

### 8. Run the application

What's happening:
- The asyncio loop launches the agent and keeps it running until you exit
```python
if __name__ == "__main__":
    asyncio.run(main())
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Formdesk
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["formdesk"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    formdesk_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[formdesk_mcp],
        instructions=(
            "You are a Formdesk assistant. Use Formdesk tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Formdesk.\n")

    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", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

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

## Conclusion

You've built a Pydantic AI agent that can interact with Formdesk through Composio's Tool Router. With this setup, your agent can perform real Formdesk actions through natural language.
You can extend this further by:
- Adding other toolkits like Gmail, HubSpot, or Salesforce
- Building a web-based chat interface around this agent
- Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Formdesk for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

## How to build Formdesk MCP Agent with another framework

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

## Related Toolkits

- [Apilio](https://composio.dev/toolkits/apilio) - Apilio is a home automation platform that lets you connect and control smart devices from different brands. It helps you build flexible automations with complex conditions, schedules, and integrations.
- [Basin](https://composio.dev/toolkits/basin) - 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.
- [Bouncer](https://composio.dev/toolkits/bouncer) - Bouncer is an email validation platform that verifies the authenticity of email addresses in real-time and batch. It helps boost deliverability and reduce bounce rates for your communications.
- [Conveyor](https://composio.dev/toolkits/conveyor) - Conveyor is a platform that automates security reviews with a Trust Center and AI-driven questionnaire automation. It streamlines compliance and vendor security processes for faster, hassle-free reviews.
- [Crowdin](https://composio.dev/toolkits/crowdin) - Crowdin is a localization management platform that streamlines translation workflows and collaboration. It helps teams centralize multilingual content, boost productivity, and automate translation processes.
- [Databox](https://composio.dev/toolkits/databox) - Databox is a business analytics platform that connects your data from any tool and device. It helps you track KPIs, build dashboards, and discover actionable insights.
- [Detrack](https://composio.dev/toolkits/detrack) - Detrack is a delivery management platform for real-time tracking and proof of delivery. It helps businesses automate notifications and keep customers updated every step of the way.
- [Dnsfilter](https://composio.dev/toolkits/dnsfilter) - Dnsfilter is a cloud-based DNS security and content filtering solution. It helps organizations block online threats and manage safe internet access with ease.
- [Faraday](https://composio.dev/toolkits/faraday) - Faraday lets you embed AI in workflows across your stack for smarter automation. It boosts your favorite tools with actionable intelligence and seamless integration.
- [Feathery](https://composio.dev/toolkits/feathery) - Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease.
- [Fillout forms](https://composio.dev/toolkits/fillout_forms) - Fillout forms is an online platform for building and managing forms with a flexible API. It lets you create, distribute, and collect responses from forms with ease.
- [Formsite](https://composio.dev/toolkits/formsite) - Formsite lets you build online forms and surveys with drag-and-drop simplicity. Capture, manage, and integrate form responses securely for streamlined workflows.
- [Graphhopper](https://composio.dev/toolkits/graphhopper) - GraphHopper is an enterprise-grade Directions API for routing, optimization, and geocoding across multiple vehicle types. It enables fast, reliable route planning and logistics automation for businesses.
- [Hyperbrowser](https://composio.dev/toolkits/hyperbrowser) - Hyperbrowser is a next-generation platform for scalable browser automation. It empowers AI agents to interact with web apps, automate workflows, and handle browser sessions at scale.
- [La Growth Machine](https://composio.dev/toolkits/lagrowthmachine) - La Growth Machine automates multi-channel sales outreach and routine tasks for sales teams. Streamline your workflow and focus on closing more deals.
- [Leverly](https://composio.dev/toolkits/leverly) - Leverly is a workflow automation platform that connects and coordinates actions across your apps. It streamlines repetitive processes so your business runs smoother, faster, and with fewer manual steps.
- [Maintainx](https://composio.dev/toolkits/maintainx) - Maintainx is a cloud-based CMMS for centralizing maintenance data, communication, and workflows. It helps organizations streamline maintenance operations and improve team coordination.
- [Make](https://composio.dev/toolkits/make) - Make is an automation platform that connects your favorite apps and services. Build powerful, custom workflows without writing code.
- [Ntfy](https://composio.dev/toolkits/ntfy) - Ntfy is a notification service to send push messages to phones or desktops. Instantly deliver alerts and updates to users, devices, or teams.
- [Persona](https://composio.dev/toolkits/persona) - Persona offers identity infrastructure to automate user verification and compliance. It helps organizations securely verify users and reduce fraud risk.

## Frequently Asked Questions

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

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.

### Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI 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.

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

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.

### 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 Formdesk data and credentials are handled as safely as possible.

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