Typeform

Typeform의 MCP 서버를 통해 사용자는 자연어 상호작용으로 양식을 생성 및 관리하고, 연락처와 자동화를 처리하며, 양식 응답을 분석할 수 있습니다.

typeform.com에서 보기

호스팅형 MCP 서버

npx add-mcp 'https://api.typeform.com/mcp'

Claude Code, Codex, Cursor 등에 설치됩니다

문서

The Typeform MCP server lets you build an integration that works with Typeform accounts from an LLM client. It exposes form and automation building, contact management, and response analytics over the Model Context Protocol — an open standard for connecting AI assistants to external tools — so you can offer Typeform capabilities without building against individual REST endpoints.

💡 Just want to use Typeform from an AI client yourself? You don't need these docs — start at Connect Typeform to your AI with the Typeform MCP server or connect to the native MCP connectors in Claude or ChatGPT.

What you can build

CapabilityTools
Create and edit forms — fields, logic, publishingforms-*
Build and publish automations with email, webhook, delay, and integration stepsautomations-*
Manage contacts and lists, including bulk upsert and form field mappingcontacts-*
Query response analytics — raw submission data, aggregates, rankings, time seriesinsights-*

See Supported tools for the full list, and Not yet supported for the capabilities that still need the REST API.

Quick start

Connect an MCP client to:

https://api.typeform.com/mcp

Streamable HTTP only — there's no SSE endpoint, and clients configured for SSE fail immediately. Authorization is OAuth 2.0, and your client is prompted on first connect.

To try it without writing any code:

npx @modelcontextprotocol/inspector

Call accounts-list_accounts first: nearly every other tool needs the account_id it returns.

EU-hosted accounts use different endpoints, and a hosted connector identifies itself with a client metadata document — see Core concepts and Build an MCP connector.