Weavely AI Forms & Surveys

Build, style, and publish forms & surveys conversationally.

Use our MCP server to connect Weavely to your favourite AI and LLM tools!

This guide walks you through what the Weavely MCP is, how it works, and how to configure it for any compatible AI client.

MCP (Model Context Protocol) is a standard that allows AI models tocall tools— like APIs or custom functions — by passing structured arguments.

Instead of hardcoding every integration, you provide a reference to an MCP server thatexposes tools dynamically. The LLM then learns what tools are available and when to use them, all without manual plumbing.

The Weavely MCP server gives your AI clientfull control over the form-building process— from creating an empty form to adding questions, styling it, adding conditional logic, and publishing.

The AI builds the form step by step while you follow along via alive preview URLthat updates in real-time. When you're happy with the result, ask the AI to publish and you'll get a link to claim ownership.

"Create a post-purchase NPS survey for new customers. Use a 0–10 rating scale, add a follow-up text area that only shows when the score is below 7, and style it with a clean dark theme."
- Create the form and share a live preview link
- Add a scale rating element and a conditional text area
- Set up logic to show the text area only for low scores
- Apply a dark color theme with clean layout
- Publish when you ask — giving you an editor URL to claim full ownership

Add the Weavely MCP server to your AI client's configuration:

{ "mcpServers": { "weavely": { "url": "https://mcp.weavely.ai/mcp" } } }

This works with any client that supportsStreamable HTTPMCP servers, including Claude Desktop, Claude Code, and Cursor.

If your client only supports stdio-based MCP servers, use themcp-remotebridge:

{ "mcpServers": { "weavely": { "command": "npx", "args": [ "mcp-remote", "https://mcp.weavely.ai/mcp" ] } } }

npxmust be available in your terminal. On Windows with a local agent, you may need to prefix withcmd /c.

The MCP server exposes13 toolsthat cover the full form-building lifecycle:

Theadd_elementtool supports25 element types:

- Input fields: text, number, email, phone, URL, time, date, text area
- Choice fields: radio buttons, checkboxes, dropdown, ranking
- Image choice: multiple-choice with images (images assigned on platform after publishing)
- Matrix: grid questions with rows and columns
- Rating: star rating, scale rating, range slider
- Display: headings, paragraphs (with HTML support)
- Media: embedded HTML, audio, video
- Special: file upload, signature, single checkbox

Once the MCP server is connected, the AI sees all 13 tools and uses them automatically based on your requests.

You:Create a customer feedback form with a star rating, a comment box, and an email field. Make it look professional.

AI:I'll create that for you. Here's your live preview:https://forms.weavely.ai/abc-123— you can open it now and refresh to see updates as I build.

(AI calls create_form, then add_element three times, then set_theme)

You:Add a dropdown asking how they found us, with options for Google, Social Media, and Friend.

(AI calls add_element with radio-buttons and options)

AI:Your form is published! Open the editor to claim it:https://forms.weavely.ai/editor/xyz-456?publish=true

The live preview updates with every change — you just refresh the page to see the latest version.

Once you publish and claim your form on the Weavely platform, you get access to additional features that aren't available through the MCP:

- Integrations: Make, Zapier, n8n, Google Sheets, HubSpot, Airtable, Notion
- Email notifications: get notified on submissions or send confirmation emails
- Social media preview: customize Open Graph image, title, and description
- Custom domain: serve the form on your own domain
- Embed codes: embed the form on any website
- Analytics: view submissions and response data

For the full developer reference, see ourForms API documentationandllms.txt.

Create high quality presentations using AI