F

Fillout MCP Server

Fillout.io's MCP Server provides form management, response handling, and data analysis functions
2 points
8

What is the Fillout.io MCP Server?

The Fillout.io MCP Server is a powerful tool that allows you to easily create and manage forms, collect and analyze data from form submissions. Whether you need to create a customer feedback form or an employee survey, it can meet your needs.

How to use the Fillout.io MCP Server?

Through simple setup steps, you can quickly get it up and running. You can create forms, submit responses, and view analysis results with just a few commands.

Use Cases

The Fillout.io MCP Server is very suitable for enterprises, educational institutions, and individual users in scenarios such as collecting customer feedback, employee satisfaction surveys, and market research.

Main Features

Form ManagementEasily create, edit, and delete forms, supporting various question types and settings.
Response HandlingReceive form submissions in real - time and export data, supporting various filtering conditions.
Data AnalysisProvide detailed analysis of response rates, completion times, and trends.
Security and PermissionsSupport API key authentication to ensure data security.

Advantages and Limitations

Advantages
Easy to use and powerful
Support various form types and question options
Real - time data analysis
API key permission control
Limitations
Requires a certain technical foundation for configuration
Advanced features may require additional payment

How to Use

Register and Get an API Key
Log in to your Fillout.io account, go to the API settings page, and generate an API key.
Install and Configure the Server
Choose Docker or NPX to install the server according to your environment.
Start Creating Forms
Use the API interface to create custom forms.
Submit Form Data
Submit form responses through the API.

Usage Examples

Create a Customer Feedback FormDesign a simple form for collecting customer opinions.
Submit Form ResponsesSimulate submitting form response data.

Frequently Asked Questions

How to ensure the security of the API key?
Why do I get an 'Invalid API key' error?
How to limit the frequency of form submissions?

Related Resources

Fillout.io Official Documentation
Comprehensive API documentation and usage guides.
GitHub Code Repository
Open - source code and example projects.
Video Tutorial
Quick - start video.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
100
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
153
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
840
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
575
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase