UserTesting, the leading provider of customer insights for the enterprise, today announced the availability of its Model Context Protocol Servers for both UserTesting and User Interviews platforms, giving product, design, UX, and research teams direct access from within AI applications including ChatGPT, Claude, Figma Make, and other MCP-compatible clients.
Announced in Bellevue, Washington, the new capability embeds customer insight directly into AI-powered workflows, spanning a combined network of more than seven million participants across 34 countries and allowing teams to recruit participants, create studies, and validate AI-generated ideas without leaving their AI tools.
The new capability embeds customer insight directly into AI-powered workflows, allowing teams to recruit participants, create studies, launch tests, and retrieve customer feedback without leaving the tools where ideas are generated. Instead of switching between disconnected AI assistants, research platforms, and collaboration tools, teams can move seamlessly from concept to customer validation in a single workflow.
“AI has dramatically accelerated how teams generate ideas, designs, and content. Speed only creates value when it’s grounded in real customer understanding,” said Jennifer Artabane, Vice President of Product Management at UserTesting. “With MCP servers for both UserTesting and User Interviews, we’re bringing human insight directly into the AI workflows where decisions are made. Teams can move from asking AI what’s possible to validating what actually works with real customers without breaking their creative flow.”
Using the UserTesting and User Interviews MCP servers, teams can recruit participants directly from within supported AI applications, create and launch studies without leaving their AI workflow, bring customer insights back into ChatGPT, Claude, Figma Make, Gemini, and other MCP-compatible clients, validate AI-generated concepts with real people before launch, and turn raw sessions into synthesized findings with every takeaway anchored to evidence.
As organizations increasingly rely on AI to accelerate product development and design, one challenge remains: AI trained on existing patterns tends to pull toward the familiar, not the distinctive. Building products that stand out requires insight into customer emotion, tastes, and discernments and that insight comes from real people, not inference.
“At Picsart we've built an AI-powered product development lifecycle that gets from concept to shipped experience in a fraction of the time it used to take,” said Oli Mival, VP Product Strategy, Innovation and Experience. “UserTesting's MCP server lets us keep real people in that loop without slowing it down, so human insight is woven through every stage rather than a checkpoint we pass once. It means we're not just building fast; we're building the right things in the right way.”
The introduction of these MCP servers is a response to a broader shift in the product development lifecycle in the age of AI. The product development lifecycle is compressing: research and customer feedback are no longer a discrete phase teams move through once, but an ongoing input woven throughout a much shorter cycle.
By embedding UserTesting and User Interviews into AI-assisted workflows, teams spend less time switching between applications and more time iterating on ideas informed by real customer feedback. Whether prioritizing what to build next, weighing a business trade-off, or refining a user experience, teams can validate decisions with customers before moving forward.
Both MCP servers are currently available in Early Access and support ChatGPT, Claude, Figma Make, Gemini, and other applications compatible with the Model Context Protocol.
About UserTesting
UserTesting is the leading customer insights solution, enabling organizations to make confident decisions by understanding how real people experience their products, services, and ideas. The company's AI-powered platform provides on-demand access to diverse perspectives through a global participant network and flexible recruitment options. UserTesting delivers end-to-end capabilities from participant recruitment through AI-driven insight generation, helping design, product, marketing and research teams make better, smarter decisions, improve stakeholder alignment, and drive measurable business outcomes.
