Gainsight MCP Connector

Your AI tools don’t know your customers. Now they can.

Gainsight MCP connects any MCP-enabled AI tool to live data from across Gainsight, so every answer, action, and insight is grounded in real customer context.

Browse Prompts
Get Connected
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Prompts & Skills

Prompts for a single ask, skills for a whole workflow. Ready to use for every product.

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GitHub

For builders. Example code, configurations, and guides to help you build with Gainsight MCP.

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Start Here

A step-by-step guide to connecting your tools, setting up MCP, and making your first request.

Get Started
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Courses

Structured, self-paced training to get your team fluent in MCP.

AI Learning Hub

Make every AI interaction customer-aware

Ask questions in plain language, take action, and build on live customer data from across Gainsight, all within your existing role-based permissions. Use Gainsight MCP across all five of our products.

Bring customer context to any prompt

Ask about risks, sentiment, community activity, product usage, and course completion in one prompt, and get a summary grounded in live Gainsight data.y

Take action without leaving your LLM

Go from insight to action in the same conversation. Update records, create content, and manage your programs without switching tools.

Spot where to engage

Find the most common unanswered questions in your Community, flag sentiment trends, or see which segments have finished onboarding courses.

Turn engagement data into retention signals

See which features drive engagement, where users drop off, and which topics generate the most unresolved questions, without writing a filter.

Skilljar, Customer Communities, and Product Experience MCP servers are now generally available.

Learn More

Learn how post-sales teams are getting started with MCP.

Read the Ebook

Frequently Asked Questions

MCP stands for Model Context Protocol. It is a framework that allows AI tools like ChatGPT, Gemini, and Claude to securely access external systems in real time. With Gainsight MCP, those tools can query live customer intelligence from across the platform, including Staircase AI, CS, PX, Customer Communities, and Skilljar, so answers are grounded in real data instead of static inputs.

Gainsight MCP supports leading AI tools such as ChatGPT, Claude, and Gemini. If an AI platform supports MCP, it can connect to Gainsight through the same protocol. For additional LLMs, follow the setup instructions within your chosen AI tool to configure the connection.

Yes. If your AI tool supports the Model Context Protocol, it can connect to Gainsight through MCP. Specific configuration steps may vary depending on the tool.

Yes. MCP requires access to versions of ChatGPT, Claude, or Gemini that support external tool connections. In most cases this means using a Team, Pro, or Enterprise plan. Availability may vary by platform, so refer to your AI provider’s documentation for specific plan requirements.

No. Your Gainsight products, including Staircase, CS, PX, Communities, and Skilljar, remain your systems of insight and action for workflows, execution, and reporting. MCP extends live intelligence from across the platform into the AI tools your teams already use, helping you build on top of Gainsight while maintaining the same enterprise infrastructure Gainsight offers. Think of it as one path for builders, alongside pre-built AI agents for teams that want to move fast without customizing from scratch.

Yes. MCP is available for all Gainsight products.