How to integrate Formbricks MCP with Pydantic AI

This guide walks you through connecting Formbricks to Pydantic AI using the Composio tool router. By the end, you'll have a working Formbricks agent that can create a new customer feedback survey, add a contact to our user list, record survey responses from yesterday's event through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Formbricks account through Composio's Formbricks MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Formbricks

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Formbricks is an open-source platform for building and managing surveys. It helps organizations collect and analyze user feedback efficiently.

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Introduction

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

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

Also integrate Formbricks with

OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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 Formbricks
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 Formbricks 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 Formbricks MCP server, and what's possible with it?

The Formbricks MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Formbricks account. It provides structured and secure access to your survey management tools, so your agent can perform actions like creating surveys, collecting responses, managing contacts, and handling webhooks automatically on your behalf.

Survey creation and management: Easily instruct your agent to create new surveys, define questions, and set up feedback forms tailored to your needs.
Automated response collection: Have your agent log responses to surveys, link displays to responses, and streamline data gathering effortlessly.
Contact and attribute management: Direct your agent to add or remove contacts, create or delete attribute classes, and segment audiences for more targeted feedback analysis.
Webhook configuration for real-time events: Let your agent register new webhooks to automatically send survey response data to external systems or endpoints.
Cleanup and maintenance tools: Authorize your agent to delete surveys, survey responses, persons, or unused attributes, keeping your Formbricks 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:

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

Step-by-step Guide

Step by step09 STEPS

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

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.

Install dependencies

bash

pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

composio connects your agent to external SaaS tools like Formbricks
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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

Import dependencies

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()

What's happening:

We load environment variables and import required modules
Composio manages connections to Formbricks
MCPServerStreamableHTTP connects to the Formbricks MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

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 Formbricks
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["formbricks"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

What's happening:

We're creating a Tool Router session that gives your agent access to Formbricks 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

Initialize the Pydantic AI Agent

python

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

What's happening:

The MCP client connects to the Formbricks endpoint
The agent uses GPT-5 to interpret user commands and perform Formbricks operations
The instructions field defines the agent's role and behavior

Build the chat interface

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 Formbricks.\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()

What's happening:

The agent reads input from the terminal and streams its response
Formbricks API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

Run the application

python

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

What's happening:

The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Formbricks and Pydantic AI:

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 Formbricks
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["formbricks"],
    )
    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
    formbricks_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[formbricks_mcp],
        instructions=(
            "You are a Formbricks assistant. Use Formbricks 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 Formbricks.\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 Formbricks through Composio's Tool Router. With this setup, your agent can perform real Formbricks 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 + Formbricks for workflow automation)

This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

TOOLS

Supported Tools

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

Check Health

Tool to check the health status of the Formbricks API.

Create Action Class

Tool to create a new action class.

Create Attribute Class

Creates a new attribute class (custom contact attribute) in Formbricks.

Create Client User

Tool to create or identify a user within a specified environment.

Create Contact

Creates a new contact in a Formbricks environment.

Create Display

Create a display record to track when a survey is shown to users.

Create Survey Response

Tool to create a response for a survey.

Create Survey

Tool to create a new survey.

Create Webhook

Tool to create a new webhook.

Delete Attribute Class

Tool to delete an attribute class.

Delete Person

Tool to delete a person.

Delete Survey Response

Tool to delete a survey response by its ID.

Delete Survey

Deletes a survey from Formbricks by its unique identifier.

Delete Team

Tool to delete an organization team by its ID.

Delete Webhook

Tool to delete a webhook by ID.

Get Account Info

Retrieves environment information for the authenticated API key.

Get All Contacts

Tool to retrieve all contacts within the organization.

Get Attribute Class

Tool to get a specific attribute class by ID.

Get Client Contacts State

Tool to get the current state of a contact including surveys and segment information.

Get Contact Attribute Key

Tool to retrieve detailed information about a specific contact attribute key by ID (v2 API).

Get Contact by ID

Tool to retrieve a specific contact by its ID.

Get Me

Tool to retrieve current authenticated organization's and environment details.

Get Person by ID

Tool to retrieve a person by their internal ID in Formbricks.

Get Responses

Retrieve survey responses with flexible filtering, sorting, and pagination.

Get Roles

Tool to retrieve all available roles in the system.

Get Webhook

Tool to retrieve details of a specific webhook.

List Action Classes

List all action classes in your Formbricks environment.

List Attribute Classes

Tool to list all attribute classes.

List Client Environment

Tool to retrieve environment state for Formbricks SDKs.

List Contact Attribute Keys

Tool to retrieve contact attribute keys from Formbricks.

List Health

Tool to check the health status of critical application dependencies including database and cache.

List Management Contact Attributes

Tool to retrieve all contact attributes in the environment.

List Management Me

Tool to retrieve authenticated user's environment and project information.

List Management People

Tool to retrieve all people (legacy term for contacts) in the environment.

List Organizations Project Teams

Tool to list all project-team assignments for an organization (v2 API only).

List Organization Teams

Tool to retrieve all teams in an organization (v2 API).

List Surveys

List all surveys in the environment.

List Webhooks

List all webhooks configured for the current environment.

Update Contact Attributes

Tool to update a contact's attributes in Formbricks.

Update Survey Response

Tool to update an existing survey response.

Update Survey

Updates an existing Formbricks survey with new properties.

Update Webhook

Tool to update an existing webhook.

Upload Bulk Contacts

Upload multiple contacts to a Formbricks environment in bulk (up to 250 per request).

Upload Private File

Tool to obtain S3 presigned upload data for a private survey file.

Upload Public File

Retrieves S3 presigned upload URLs and form fields for uploading a public file to Formbricks storage.

FRAMEWORKS

How to build Formbricks MCP Agent with another framework

OpenAI Agents SDK

Use Formbricks MCP with OpenAI Agents SDK

Claude Agent SDK

Use Formbricks MCP with Claude Agent SDK

Claude Code

Use Formbricks MCP with Claude Code

Claude Cowork

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Codex

Use Formbricks MCP with Codex

OpenClaw

Use Formbricks MCP with OpenClaw

Hermes

Use Formbricks MCP with Hermes

CLI

Use Formbricks MCP with CLI

Google ADK

Use Formbricks MCP with Google ADK

LangChain

Use Formbricks MCP with LangChain

Vercel AI SDK

Use Formbricks MCP with Vercel AI SDK

Mastra AI

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LlamaIndex

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CrewAI

Use Formbricks MCP with CrewAI

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FAQ

Frequently asked questions

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

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 Formbricks tools.

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

Start with Formbricks.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Formbricks tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

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Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

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.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Formbricks MCP with Pydantic AI

Connect Formbricks without auth hassles

Introduction

Also integrate Formbricks with

TL;DR

What is Pydantic AI?

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

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Formbricks MCP Agent with another framework

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

Explore Other Toolkits

Excel

21risk

Abstract

Addressfinder

Frequently asked questions

What are the differences in Tool Router MCP and Formbricks MCP?+

Can I use Tool Router MCP with Pydantic AI?+

Can I manage the permissions and scopes for Formbricks while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Formbricks.It takes 30 seconds.

Teams ship real agents on Composio