
Typeform
CommunityPopularTypeform MCP server. Create, update, and analyze typeforms. Access responses, manage workspaces, and integrate form data into AI workflows.
| Publisher | typeform |
| Repository | typeform-mcp-server |
| Language | TypeScript |
| Forks | 0 |
| Stars | 1.7K |
| Available tools | 16 |
| Transport type | stdio |
| Categories | |
| License | MIT |
| Links |
- Connect tools to AI workflows
Typeform exposes MCP capabilities that can be used by compatible AI clients and agents.
- 16 available tools
Browse the callable actions below, including names and descriptions when provided by the server.
- Ready-to-copy setup
Use the installation snippets to configure this server in your preferred MCP client.
- Open source signals
1.7K stars and 0 forks from the linked repository.
Installation
Node.js 18+
{
"mcpServers": {
"typeform": {
"command": "npx",
"args": [
"-y",
"typeform-mcp"
],
"env": {
"TYPEFORM_TOKEN": "<YOUR_TOKEN>"
}
}
}
}Available Tools
- list_forms
List all forms in the workspace with basic metadata like title, status, and creation date
- get_form
Get detailed information about a specific form including questions, logic, and settings
- create_form
Create a new form with specified title, questions, and configuration options
- update_form
Update an existing form's title, questions, logic, or settings
- delete_form
Delete a form and all its associated data permanently
- publish_form
Publish a form to make it publicly accessible and start collecting responses
- get_form_responses
Retrieve responses for a specific form with filtering and pagination options
- get_response_details
Get detailed information about a single response including all answers and metadata
- search_responses
Search through form responses using filters like date range, completion status, or answer values
- list_workspaces
List all workspaces accessible to the authenticated user
- get_workspace
Get detailed information about a specific workspace including members and forms
- create_workspace
Create a new workspace with specified name and settings
- get_form_analytics
Get analytics data for a form including completion rates, drop-off points, and response statistics
- export_responses
Export form responses in various formats like CSV, Excel, or JSON
- update_form_settings
Update form settings like notifications, thank you page, or response limits
- duplicate_form
Create a copy of an existing form with all questions and logic preserved
Use Typeform MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Typeform is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.
Setup guide to use the local connector
Use this when the MCP server needs access to local files, apps, or private resources on your computer.
Open the MCP settings
In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.
- Open TypingMind in your browser.
- Click the Settings icon.
- Go to Advanced Settings.
- Open the Model Context Protocol section.
- Click Setup Connector and choose This Device.

Run the connector command
Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.
- Copy the setup command shown by TypingMind.
- Open Terminal on macOS or Windows Terminal on Windows.
- Paste and run the command.
- Approve the package install if Terminal asks you to proceed.
- Keep the Terminal window running while using MCP tools.
Add Typeform as a server
When the connector status is Ready, click Edit Servers and paste the MCP server configuration.
- Wait until the connector status shows Ready.
- Click Edit Servers.
- Paste the Typeform MCP server configuration.
- Save the server list.
- Refresh if you want to confirm the connector is still ready.

{
"mcpServers": {
"typeform": {
"command": "npx",
"args": [
"-y",
"typeform-mcp"
]
}
}
}Use it across models
Save the server list, open Plugins, enable the Typeform MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.
- Open the Plugins page in TypingMind.
- Enable the Typeform MCP tools.
- Start a chat and choose the AI model you want to use.
- Use the MCP tools in chat or assign them to an AI agent.
- Switch to another AI model whenever needed without reconnecting MCP.


Here is what I found using Typeform.
Frequently asked questions
What is the Typeform MCP server used for?
Typeform is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.
Can I use Typeform MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Typeform with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.
Why use Typeform MCP with TypingMind?
TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Typeform connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Typeform MCP to TypingMind?
Typeform runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.
What tools does Typeform MCP provide in TypingMind?
Typeform exposes 16 MCP tools that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.
Do I need to share my API keys with TypingMind to use Typeform MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Typeform requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
Related MCP Servers
View allGhidraMCP
MCP Server for Ghidra
HexStrike AI
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

Webflow
Official Webflow MCP server. Manage sites, pages, CMS collections, and form submissions via Webflow's Data API. Publish drafts, update content, and automate site operations.

Make.com (Integromat)
Official Make.com MCP server. Trigger scenarios, manage connections, and automate workflows across 2,000+ apps via Make's visual automation platform.
