
Jotform
CommunityPopularOfficial Jotform MCP server. Manage forms, submissions, and integrations. Create forms programmatically and extract submission data for AI-powered workflows.
| Publisher | jotform |
| Repository | jotform-mcp |
| Language | TypeScript |
| Forks | 0 |
| Stars | 1.6K |
| Available tools | 17 |
| Transport type | stdio |
| Categories | |
| License | MIT |
| Links |
- Connect tools to AI workflows
Jotform exposes MCP capabilities that can be used by compatible AI clients and agents.
- 17 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
1.6K stars and 0 forks from the linked repository.
Installation
Node.js 18+
{
"mcpServers": {
"jotform": {
"command": "npx",
"args": [
"-y",
"jotform-mcp"
],
"env": {
"JOTFORM_API_KEY": "<YOUR_API_KEY>"
}
}
}
}Available Tools
- list_forms
Retrieve all forms associated with the account with pagination and filtering options
- get_form
Get detailed information about a specific form including fields, settings, and metadata
- create_form
Create a new form with specified title, fields, and configuration settings
- update_form
Modify an existing form's properties, fields, or settings
- delete_form
Permanently delete a form and all associated data
- clone_form
Create a duplicate copy of an existing form with all fields and settings
- get_form_submissions
Retrieve submissions for a specific form with filtering and sorting options
- get_submission
Get detailed data for a specific form submission by ID
- delete_submission
Remove a specific submission from a form
- search_submissions
Search through form submissions using field values and date ranges
- export_submissions
Export form submissions in various formats like CSV, Excel, or PDF
- list_form_fields
Get all fields and their properties for a specific form
- add_form_field
Add a new field to an existing form with specified type and properties
- update_form_field
Modify properties of an existing form field
- get_form_integrations
List all active integrations configured for a specific form
- create_form_integration
Set up a new integration with third-party services for a form
- get_account_usage
Retrieve account statistics including form count, submission limits, and storage usage
Use Jotform MCP with multiple AI models
TypingMind connects MCP tools at the workspace level, so once Jotform 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 Jotform 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 Jotform MCP server configuration.
- Save the server list.
- Refresh if you want to confirm the connector is still ready.

{
"mcpServers": {
"jotform": {
"command": "npx",
"args": [
"-y",
"jotform-mcp"
]
}
}
}Use it across models
Save the server list, open Plugins, enable the Jotform 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 Jotform 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 Jotform.
Frequently asked questions
What is the Jotform MCP server used for?
Jotform 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 Jotform MCP with multiple AI models in TypingMind?
Yes. TypingMind connects MCP tools at the workspace level, so you can use Jotform 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 Jotform 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 Jotform connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.
How do I connect Jotform MCP to TypingMind?
Jotform 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 Jotform MCP provide in TypingMind?
Jotform exposes 17 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 Jotform MCP?
No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Jotform requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.
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