Automation

Quackback + MCP Server

Bring customer feedback into your AI-assisted workflows

Your team already uses AI assistants to write code, draft documents, and plan work. The Quackback MCP server connects those same tools to your feedback data. When you ask your AI assistant a question, it can search your feedback board, check vote counts, read user comments, and pull in the context you need. Instead of switching to a dashboard mid-task, you get feedback data where you already work: in your editor, your terminal, or your planning tool. The MCP server supports Claude Code, Cursor, Windsurf, VS Code, and any client that speaks the Model Context Protocol.

How it works

Connect MCP Server to Quackback in three steps.

Enable the MCP server

Activate the MCP server in your Quackback project settings and create an API key.

Add it to your AI tool

Add the Quackback MCP server to your tool's configuration: Claude Code, Cursor, VS Code, Windsurf, or any MCP-compatible client.

Feedback is available in-context

Your AI assistant can now search posts, read comments, check vote counts, and reference feedback data as part of any conversation.

Why connect Quackback to MCP Server

Reference feedback while you build

Working on a feature in your editor? Your AI assistant can search for related feedback posts, show you how many users requested it, and surface specific comments. You get user context without leaving your code.

Ask questions in natural language

Ask "what are users saying about mobile performance?" or "which feature requests have the most votes?" and your assistant queries the feedback board directly. No dashboard filters to configure, no context-switching.

Write changelogs and updates faster

When drafting a changelog or release notes, your assistant can pull in the feedback posts you resolved, their vote counts, and the original user requests. The result is release communication grounded in what users actually asked for.