The Statsig Docs MCP Server lets AI agents search Statsig documentation by keyword, list available documentation pages, and retrieve full Markdown content to answer implementation and configuration questions.
Cursor is an AI-first code editor. It loads MCP servers from its settings and lets its agent call their tools as part of a task.
This guide connects Statsig Docs MCP to Cursor through MewCP, so Cursor can use Statsig Docs MCP's 5 tools, like get_page, list_pages and search_docs.
Statsig Docs MCP needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
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Statsig Docs MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact Statsig Docs MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
A browser window opens the first time the client connects. Sign in and approve access. No API key needed.
Start a new chat and ask: "List the tools you can use from MewCP." You should see your connected apps.
Retrieve the full markdown content of a Statsig documentation page
List all available Statsig documentation pages with their titles and slugs
Search Statsig documentation and return typed results with section-level chunks (Guide, APIReference, SDKReference, Troubleshooting)
Assemble an ordered multi-page setup sequence with code snippets for analytics, experiment, or session replay workflows
Report documentation gaps, broken examples, or ambiguous parameter descriptions to the Docs content backlog
