- Fillout.io MCP Server
Fillout.io MCP Server
Content
Fillout.io MCP Server
MCP Server for the Fillout.io API, enabling form management, response handling, and analytics.
Token Setup
-
Get your Fillout.io API Key:
- Log in to your Fillout.io account
- Go to Account Settings → API & Webhooks
- Click "Create new API Key"
- Copy your new API key
-
API Key Information:
- Production keys start with
fo_live_ - Test keys start with
fo_test_ - Test keys only work with test forms
- API keys provide access to all resources in your account
- Production keys start with
-
Replace
your-fillout-api-keyin the configuration with your API key.
⚠️ Security Notes:
- Keep your API key secure and private
- Use test keys for development
- Store keys in environment variables
- Rotate keys periodically
- Never commit keys to version control
Token Troubleshooting
Common Error Messages
-
"Invalid API key provided" or "Authentication failed"
- Cause: API key is missing, malformed, or invalid
- Solution:
- Verify key starts with
fo_live_orfo_test_ - Check for extra spaces or characters
- Ensure environment variable is set correctly
- Create a new key if necessary
- Verify key starts with
-
"Test mode key used with live form"
- Cause: Using test key (
fo_test_) with production form - Solution:
- Use live key for production forms
- Create test form for development
- Switch to appropriate key type
- Cause: Using test key (
-
"Rate limit exceeded"
- Cause: Too many API requests
- Solution:
- Implement request throttling
- Check usage in dashboard
- Optimize request patterns
Validation Steps
-
Check API Key Format:
# Key should: - Start with 'fo_live_' or 'fo_test_' - Be approximately 50 characters - Contain only letters, numbers, and underscores -
Test API Key:
curl -H "Authorization: Bearer your-api-key" \ https://api.fillout.com/v1/api/forms
Features
Form Management
- List all forms
- Get form details
- Create new forms
- Delete forms
- Update form settings
Response Handling
- Submit form responses
- Get form submissions
- Filter responses
- Export responses
Analytics
- Response rates
- Completion times
- Submission trends
Tools
-
list_forms- Get all accessible forms
- Parameters:
limit(optional): Number of forms to returnoffset(optional): Pagination offset
- Returns: Array of form objects
-
get_form- Get detailed form information
- Parameters:
formId(string): Form identifier
- Returns: Form details including questions and settings
-
create_form- Create a new form
- Parameters:
name(string): Form namedescription(optional string): Form descriptionquestions(array): Array of question objectstype: Question type (e.g., 'ShortAnswer', 'MultipleChoice')name: Question textrequired: Whether question is requiredchoices: Array of choices for multiple choice questions
- Returns: Created form object
-
get_form_responses- Get form submissions
- Parameters:
formId(string): Form identifierfilters(optional): Response filterspageSize(optional): Results per pageafterDate(optional): Filter by submission datebeforeDate(optional): Filter by submission datestatus(optional): Filter by completion status
- Returns: Array of form responses
-
submit_form_response- Submit a new response
- Parameters:
formId(string): Form identifierresponses(array): Array of answersquestionId: Question identifiervalue: Response value
calculations(optional): Custom calculations
- Returns: Submission confirmation
Setup
Usage with Claude Desktop
Docker Configuration
{
"mcpServers": {
"fillout": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"FILLOUT_API_KEY",
"mcp/fillout"
],
"env": {
"FILLOUT_API_KEY": "your-fillout-api-key"
}
}
}
}
NPX Configuration
{
"mcpServers": {
"fillout": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-fillout"
],
"env": {
"FILLOUT_API_KEY": "your-fillout-api-key"
}
}
}
}
Building
Prerequisites
- Node.js 18 or later
- npm or yarn
- Docker (optional)
Local Development
# Install dependencies
npm install
# Run in development mode
npm run dev
# Build for production
npm run build
Docker Build
# Build image
docker build -t mcp/fillout .
# Run container
docker run -e FILLOUT_API_KEY=your-key mcp/fillout
Examples
Creating a Form
const form = await client.createForm({
name: "Customer Feedback",
description: "Please share your experience",
questions: [
{
type: "ShortAnswer",
name: "What did you like most?",
required: true
},
{
type: "MultipleChoice",
name: "Would you recommend us?",
required: true,
choices: ["Yes", "No", "Maybe"]
}
]
});
Submitting a Response
const response = await client.submitFormResponse(formId, {
responses: [
{
questionId: "q1",
value: "Great customer service!"
},
{
questionId: "q2",
value: "Yes"
}
]
});
Error Handling
The server provides detailed error messages for common issues:
try {
const forms = await client.listForms();
} catch (error) {
if (error instanceof AuthenticationError) {
// Handle invalid API key
} else if (error instanceof FilloutError) {
// Handle API-specific errors
} else {
// Handle unexpected errors
}
}
License
This project is licensed under the MIT License. See the LICENSE file for details.
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Playwright McpPlaywright MCP server
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
DeepChatYour AI Partner on Desktop
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Amap Maps高德地图官方 MCP Server
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题;
Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Serper MCP ServerA Serper MCP Server
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Y GuiA web-based graphical interface for AI chat interactions with support for multiple AI models and MCP (Model Context Protocol) servers.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
ChatWiseThe second fastest AI chatbot™
WindsurfThe new purpose-built IDE to harness magic
Tavily Mcp
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
CursorThe AI Code Editor
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code