Typeform Brings Form Creation, Customer Insights, and Automated Workflows to ChatGPT and Claude

New capability lets teams create forms and landing pages, analyze responses, and automate next steps within the AI tools they already use

SAN FRANCISCO, Nov. 10, 2026 — Typeform, the AI research platform that turns conversations into qualitative and quantitative insights, today announced that it is now available directly within ChatGPT, Claude, and other MCP-compatible tools through a Model Context Protocol (MCP) server, giving businesses the power to use Typeform where and how they work.

AI tools are increasingly becoming a starting point for work, but the customer conversations and feedback that inform that work often live across separate applications and workflows. Many teams still move between platforms to manually transfer vital context, adding steps that prevent them from acting quickly. Typeform's MCP server helps close that gap by allowing users to access Typeform capabilities from AI tools. Instead of navigating across tools to build a form or landing page or configure follow-up, users can describe what they want to accomplish in natural language, and those tasks will be completed directly in Typeform.

"AI makes it easier to act, but better decisions still depend on understanding your customers," said Aleks Bass, Chief Product and Technology Officer at Typeform. "We're bringing customer feedback into the tools where teams are already working, so they can ask a question, understand what they hear, and take the next step while that insight is still relevant."

With Typeform's MCP server, teams can do the following directly from ChatGPT, Claude, or other AI assistants, without switching to Typeform:

• Create customer conversations faster: Describe the form, landing page, or study and use AI to create, edit, and publish it in Typeform.
• Turn feedback into insight: Ask questions about responses, identify recurring themes, and summarize what customers are saying without manually exporting the data for analysis.
• Work with customer context: Create and update contact profiles, ensuring the most recently collected data is synced.
• Act on what customers say: Build and edit automations for follow-up messages and next steps based on customer responses.

For example, a marketer could ask an AI assistant to create a lead-generation form, organize the contacts it generates, and set up follow-up. A customer experience team could use an assistant to analyze feedback responses and surface recurring themes, all without leaving the ChatGPT or Claude interface.

The connection also works in the other direction. With MCP connectors in Typeform AI, teams can bring business context from platforms like Canva, Notion, Slack, Shopify Storefront, and Stripe into Typeform to create more relevant experiences informed by existing customer information. A product team could turn a Slack thread into a customer feedback form, while an e-commerce team could use its Shopify product catalog to build a personalized product recommendation quiz.

This launch is part of Typeform's broader investment in AI-powered customer understanding. Earlier this year, Typeform launched Research Flow, its AI-moderated research platform that combines quantitative scale with qualitative depth to help teams uncover not only what customers say, but why. Looking ahead to early 2027, Typeform plans to extend these same MCP-powered capabilities to Research Flow, enabling teams to bring AI-moderated research into the tools and workflows they already use.

Typeform's MCP server is available on all Typeform plans. Users can connect Typeform directly to ChatGPT, Claude, or Cursor to get started. For more information, including how to connect other MCP-compatible AI tools, visit typeform.com/mcp.

SOURCE Typeform S.L.