The Survicate MCP connects your Survicate account to AI assistants like Claude, ChatGPT, Slack, and other tools that support the Model Context Protocol (MCP).
Instead of switching tabs to check what surveys are already running or to find patterns hidden in your feedback, you can just ask your AI assistant, and it will use the MCP to find the answer straight from Survicate.
Set up your custom connector using our Remote MCP server URL:
https://mcp.survicate.com/
More setup details here.
In this article, we'll talk about:
what Survicate MCP is,
what you can do with it,
which AI tools it works with,
how to get started.
What is MCP?
MCP (Model Context Protocol) lets you securely connect an AI agent to external tools and data sources, like Survicate. It acts as a bridge between your AI assistant and your Survicate account.
Once connected, the assistant can look things up in Survicate and even perform actions in Survicate, all without leaving your AI chat window.
What can you do with Survicate MCP?
Once connected, you can ask your AI assistant to help you with actions like:
Help prioritze your product roadmap
Find out what data you're still missing and plan your user research
Extract quotes and testimonials for your campaigns
Draft a survey directly from the AI Agent
đĄ This means you can create, manage, and report on your voice of the customer initiatives directly from your AI assistant.
Check out our What can I do with Survicate MCP? article for more use-case ideas!
Features of the Survicate MCP
Below youâll find a complete table of features, and the MCP tools that support your AI assistant when calling on the Survicate MCP in your conversations. You donât need to know the specific names of the tools listed below, but weâve included them here for transparency:
Feature | What it does |
Find surveys | List every survey with its status, type, and response count, or search by name to find the one you need. ( |
Find a question across surveys | Locate a question by type (NPS, CSAT, rating, choice, text) or by wording, without knowing which survey holds it. ( |
Inspect a survey | See a survey's full structure: every question, its type, wording, and answer choices. ( |
Get results | Pull a whole survey's overview (response and completion counts, answer distributions, scores) or a single question's numbers (NPS, CSAT %, averages), with an optional date range. ( |
Use the research repository | Search existing research notes and insights, and save new findings back to the repository. ( |
Read AI research projects | List research projects and their status, read a project's full cited report and charts, search the extracted insights, and open any insight in detail. ( |
Draft a survey | Create a survey as a draft (name, type, and questions), ready for a person to review and launch. Nothing reaches respondents until a human sends it. ( |
Connect securely | One-click OAuth, no API keys. Every action runs as the connected user, so workspace role, folder access, and Research Hub role apply exactly as they do in the panel. |
Create research project | Create, or get intel from a research project in Research Hub from your AI assistant. ( |
Which AI tools does it work with?
Survicate MCP works with any AI assistant or tool that supports the Model Context Protocol, including:
ChatGPT,
Slack,
and many more.
đ Availability may vary depending on your AI Assistant subscription plan.
Getting started
To start using Survicate MCP, you'll need to connect your Survicate account to your AI assistant of choice.
For AI assistants, use our Remote MCP server URL to create a custom connector:
https://mcp.survicate.com/
For Slack, head to the Integrations tab in your Survicate workspace for more details.
Check out our dedicated setup guide for step-by-step instructions: How do I connect the Survicate MCP?
đ If you have any questions or need assistance - feel free to reach out to our team via chat or email: support@survicate.com.
đĄYou can also check out our Survicate MCP FAQ article to find answers to the most common questions about this feature.