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

Gainsight’s MCP connects the entire Gainsight platform to any MCP-enabled LLM. With MCP, you can build on top of Gainsight’s infrastructure so every answer, action and insight remains grounded in real customer context.

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Make every AI interaction customer-aware

Gainsight MCP gives you the flexibility to build and extend on your own terms, without giving up the governance, data structures, and operational foundation underneath. Ask questions in plain language, take action, and build on top of live customer data from across Gainsight that respects existing role-based permissions.

Bring customer context to any prompt

Ask for recent risks, engagement, sentiment trends, and more in any prompt, and get a summary grounded in live Gainsight data.

Take action without leaving your LLM

Generate notes or internal handoff assets and log them to Timeline, update CTAs and create success plans by writing changes back to Gainsight CS without leaving your LLM.

Spot where to engage

Ask your AI to find the most common unanswered questions in your Community, flag sentiment trends on a product area, or see which customer segments have completed onboarding courses and which haven’t started.

Turn engagement data into retention signals

Uncover which features are driving engagement, where users are dropping off, or what topics are generating the most unresolved questions across your customer base, without writing a filter, running a report, or switching between tools.

Your customer context, wherever your team works

MCP doesn’t replace the customer infrastructure your team has built in Gainsight. It extends it. Health scores, in-app signals, Community content, course completion data, account history, all of it becomes accessible from within the AI tools your teams already use every day. With Gainsight as your foundational building block, MCP lets you make your post-sales programs entirely your own.

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Create shared customer context

Align CS, Sales, RevOps, and Leadership around the same live intelligence, not fragmented notes or outdated reports.

Reduce decision friction

Eliminate the back-and-forth required to validate insights, confirm context, or double-check data before acting.

Scale operations across every team

Surface intelligence from across Gainsight and make it usable directly within the AI tools your whole team already works in.

Turn intelligence into leverage

Move faster, prepare better, and respond with precision without adding new tools or complexity.

Built for teams moving at AI speed

Gainsight MCP ensures your AI outputs are accurate and meaningful. It brings live intelligence from across the Gainsight platform into the AI tools your teams already use: sentiment, account health and relationship strength, adoption signals, peer knowledge and feedback, and course completion data. Workflows, execution, and customer management continue to live where they belong. MCP is the path for teams that want to build and extend on top of that foundation, connecting Gainsight to the AI tools, agents, and workflows that fit how your team already operates.

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

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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. Gainsight CS and Staircase MCP servers are live and available for customer use today. Skilljar, Customer Communities, and PX MCP servers are currently in beta.