# How to integrate Formdesk MCP with CrewAI

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

## Introduction

This guide walks you through connecting Formdesk to CrewAI 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 CrewAI 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)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Formdesk connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Formdesk
- Build a conversational loop where your agent can execute Formdesk operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

## 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 and API key
- A Formdesk connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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

**What's happening:**
- composio connects your agent to Formdesk via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates with Composio
- USER_ID scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Formdesk MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Formdesk

**What's happening:**
- You create a Formdesk only session through Composio
- Composio returns an MCP HTTP URL that exposes Formdesk tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["formdesk"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["formdesk"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Formdesk through Composio's Tool Router. The agent can perform Formdesk operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## 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)

## 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 CrewAI?

Yes, you can. CrewAI 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)
