Userflow MCP: Userflow, in any AI tool

Q: What kinds of questions can I ask?

You can ask questions about flow performance, NPS responses, segment data, user behavior, or the Userflow knowledge base. For example, you can ask which step in a signup flow has the highest drop-off, summarize NPS responses from the last 30 days, or ask how to trigger a flow based on a custom attribute.

Q: Which AI tools does it work with?

Userflow MCP works with AI tools that support custom MCP connections, including Gemini, ChatGPT, Cursor, and Claude Code.

Q: Is this available on all plans?

Yes, Userflow MCP is available on all plans.

Q: Is this available in the ChatGPT or Claude marketplace?

Not yet. This first version connects via custom MCP. Admins generate an API token in Userflow and paste it into Claude or ChatGPT's custom-connector setup. Native availability in AI tools is the next phase.

Q: What’s coming next?

Userflow MCP is the first step toward a more AI-native way to explore, understand, and act on product adoption data. You can connect via custom MCP today, and native availability in Claude, ChatGPT, Gemini, and other AI tools is coming next. Future updates will expand how teams explore data, automate insights, and take action.

Access onboarding, flow, NPS, and product usage context directly from tools like ChatGPT and Claude—without building charts, exporting data, or writing SQL.

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Most product data lives in dashboards.

Most teams have the data. But getting answers means building charts, exporting CSVs, or piping data through a SQL query.

You toggle between Userflow, Mixpanel, and a doc when summarizing for stakeholders.

You build the same chart every Monday.

You wait for an analyst to answer 'why is X dropping off?'

Userflow MCP turns your product data into something your AI tools can answer—in seconds, without leaving the tool you're already in.

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Skip the dashboard. Get the answer.

Ask Claude, ChatGPT, Gemini, or your favorite AI tool about your flows, NPS, or user behavior—answers come straight from live Userflow data.

Get product answers without leaving your AI tool

Ask how-to questions about Userflow features. Get answers from your knowledge base, with citations—right in your AI tool.

Be your own analyst

Compare flow performance, segment engagement, and account behavior. Answer the kinds of questions that used to need a data team.

Built into the AI tools your team already uses

Works in Claude Desktop, ChatGPT, Cursor, Claude Code, Gemini, and more AI tools today via custom MCP. Native marketplace availability and AI-driven actions are coming soon.

Not everyone on your team logs into Userflow. Everyone benefits from what's in it.

Product data shouldn't be locked behind a tool only some of your team uses. With Userflow MCP, anyone with access to your favorite AI tool can ask about your flows, drop-offs, and NPS—no Userflow login required.

Product & Growth

Ask where users are dropping off in onboarding or which flows need attention.

Customer Success

Summarize NPS feedback, user questions, or adoption patterns before a customer call.

Engineering

Check flow performance from Cursor or Claude Code while debugging.

Operations

Pull product adoption context into AI workflows without maintaining custom exports or brittle reporting processes.

See 50+ ways to use Userflow MCP

Built for where AI workflows are headed

This is the first step toward a more AI-native way to explore, understand, and act on product adoption data. Connect via custom MCP today, and native availability in Claude, ChatGPT, and Gemini is coming next. Future updates will expand how teams explore data, automate insights, and take action.

FAQs

Clear answers to common questions

Still have questions?

Our team is happy to help, whether you’re just exploring or ready to get started.

What is Userflow MCP?

Userflow MCP lets you connect Userflow to AI tools like Claude, ChatGPT, Gemini, Cursor, and Claude Code. From inside any of those tools, you can ask questions about your flows, NPS, user behavior, and knowledge base—no Userflow login required. MCP stands for Model Context Protocol, an open standard for connecting AI tools to external systems and data.

What kinds of questions can I ask?

Anything about your flow performance, NPS responses, segment data, user behavior, or knowledge base. Examples: "Which step in the Trial Signup flow has the highest drop-off?" / "Summarize NPS responses from the last 30 days." / "How do I trigger a flow based on a custom attribute?" For 50+ tested examples, see our Userflow MCP use-cases library.

Which AI tools does it work with?

The Userflow MCP works with any AI tool that supports custom MCP connections—including Gemini, ChatGPT, Cursor, and Claude Code.

Is this available on all plans?

Yes, the Userflow MCP is available on all plans.

Is this available in the ChatGPT or Claude marketplace?

Not yet. This first version connects via custom MCP—admins generate an API token in Userflow and paste it into Claude or ChatGPT's custom-connector setup. Native availability in AI tools is the next phase.

What’s coming next?

This is the first step toward a more AI-native way to explore, understand, and act on product adoption data. You can connect via custom MCP today, and native availability in Claude, ChatGPT, Gemini, and other AI tools is coming next. Future updates will expand how teams explore data, automate insights, and take action.

Still have questions?

Our team is happy to help, whether you’re just exploring or ready to get started.