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Usertour MCP Server

Create and manage Usertour onboarding flows, checklists, surveys, and analytics through an MCP-connected AI assistant.

Install Usertour MCP Server

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Overview

Usertour MCP Server MCP server connects AI assistants to Usertour for building in-app onboarding experiences. It can work with flows, checklists, surveys, and analytics through the MCP endpoint, while reading an app's design system and configuring the SDK when needed. Use it when you want an assistant to author onboarding directly in a project rather than configure every experience manually. Cloud users can connect to the hosted endpoint, while self-hosted deployments use the instance URL shown in Usertour settings.

Use cases

  • Build an onboarding flow for a product feature
  • Create a product feedback survey
  • Generate a modal with an embedded YouTube video
  • Review onboarding views and completion rates

Key features

  • AI-assisted product flow authoring
  • Checklist and launcher creation
  • Survey creation
  • Onboarding analytics
  • Design-system-aware styling
  • Hosted and self-hosted MCP endpoints

Security & health

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Adoption & maintenance

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How Usertour MCP Server works

What Usertour MCP Server MCP server does

Usertour MCP Server MCP server exposes Usertour's onboarding platform to compatible AI assistants. Usertour is an open-source product for creating in-app product tours, checklists, launchers, and surveys. Through MCP, an assistant can turn a natural-language request into onboarding work inside a project, such as a flow for a feature, a feedback survey, or a modal containing a video.

The server is intended for teams that want AI-assisted authoring rather than only runtime delivery. These examples demonstrate supported workflows, but they do not define a fixed list of individually named MCP tool methods.

How it works

A compatible MCP client connects to the hosted endpoint:

text
https://mcp.usertour.io/mcp

The endpoint discovers the authorization flow automatically. After connection, the assistant can receive instructions about the onboarding experience and apply the resulting work through Usertour. The documented client examples include Claude Code, Cursor, Codex, and VS Code; the README also points to connection instructions for ChatGPT and other clients.

For a self-hosted installation, point the client at the /mcp endpoint on the organization's Usertour instance. The server can therefore be used with Usertour Cloud or with a deployment operated by the user.

Setup and configuration

For the hosted service, use the public MCP URL and follow the authorization flow discovered by the client. Claude Code users can install the Usertour plugin, which configures the MCP connection and adds authoring skills:

text
/plugin marketplace add usertour/skills
/plugin install usertour@usertour

Self-hosted users should find the MCP URL under Settings → MCP and use that URL instead of the hosted endpoint. When using the Claude Code plugin with a self-hosted instance, set USERTOUR_MCP_URL before launching Claude Code.

The underlying Usertour application can be self-deployed with Docker by copying .env.example to .env, setting the required application environment values, and running docker compose up -d. The application is then available at http://localhost:8011. Those application settings are separate from the MCP client connection configuration.

Tools and capabilities

Usertour MCP Server MCP server supports AI-assisted work around these Usertour resources and functions:

  • Create or revise in-app product flows.
  • Build checklists and launchers for onboarding experiences.
  • Create surveys for ratings, satisfaction, usability feedback, suggestions, and comments.
  • Add a modal step that displays a YouTube video.
  • Use Usertour analytics to examine views, completion rates, and drop-off areas.
  • Match generated onboarding styling to an application's existing design system.

Usertour itself supports custom user attributes, event tracking, audience targeting, multiple environments such as staging and production, version tracking, configurable themes, and visual customization. The README presents these as platform capabilities; it does not confirm that every one is exposed as a separate MCP operation.

Limitations and notes

It also does not state whether the MCP endpoint supports offline use. The documented authoring examples assume that the assistant can inspect the target project's design system and, where necessary, modify the project to connect the Usertour SDK.

Usertour supports browser-based applications and multi-page as well as single-page apps. Its onboarding features are therefore relevant when the target experience runs in a web application. Self-hosted deployments require the broader Usertour application setup in addition to configuring an MCP client.

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Frequently Asked Questions about Usertour MCP Server

Usertour MCP Server is an MCP server that connects AI assistants to Usertour’s open-source onboarding platform. Its main tools support creating and working with in-app flows, checklists, surveys, and analytics, including generating onboarding experiences from natural-language instructions and reviewing metrics such as views, completions, and drop-offs.

Connect your MCP client to https://mcp.usertour.io/mcp and complete the authorization flow it discovers. Claude Code users can install the Usertour plugin with the documented marketplace and install commands. Self-hosted users should use the `/mcp` URL shown under Usertour Settings → MCP.

Yes, Usertour MCP Server works with Cursor. Point Cursor at the hosted MCP endpoint or at the `/mcp` endpoint of a self-hosted Usertour instance, then follow the client-specific connection instructions in Usertour’s MCP guide.

Yes, Usertour MCP Server can create product feedback surveys. The README demonstrates surveys covering feature ratings, overall satisfaction, usability feedback, improvement suggestions, and open-ended comments.

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